Model 2; from model_building3:
use "data\NHANES0518_new.dta", clear
svyset sdmvpsu [pw=wtmec12yr], strata(sdmvstra)
xi: svy,subpop(if include==1): mlogit BP_cat i.MJ2 gndr ridageyr, rrr pweight: wtmec12yr
VCE: linearized
Single unit: missing
Strata 1: sdmvstra
SU 1: sdmvpsu
FPC 1: <zero>
i.MJ2 _IMJ2_0-2 (naturally coded; _IMJ2_0 omitted)
(running mlogit on estimation sample)
Survey: Multinomial logistic regression
Number of strata = 105 Number of obs = 70,190
Number of PSUs = 214 Population size = 306,545,053
Subpop. no. obs = 21,020
Subpop. size = 141,524,461
Design df = 109
F( 12, 98) = 135.85
Prob > F = 0.0000
------------------------------------------------------------------------------
| Linearized
BP_cat | RRR Std. Err. t P>|t| [95% Conf. Interval]
-------------+----------------------------------------------------------------
Normal | (base outcome)
-------------+----------------------------------------------------------------
Elevated |
_IMJ2_1 | 1.174563 .0941209 2.01 0.047 1.002078 1.376737
_IMJ2_2 | 1.347399 .168559 2.38 0.019 1.051516 1.72654
gndr | 2.222371 .1048229 16.93 0.000 2.024031 2.440147
ridageyr | 1.026825 .0027857 9.76 0.000 1.021319 1.032361
_cons | .0735952 .0079714 -24.09 0.000 .0593769 .0912182
-------------+----------------------------------------------------------------
Stage_1_HTN |
_IMJ2_1 | 1.100645 .093988 1.12 0.264 .929275 1.303618
_IMJ2_2 | .991614 .1125176 -0.07 0.941 .7919053 1.241687
gndr | 2.362098 .1160804 17.49 0.000 2.142879 2.603742
ridageyr | 1.048138 .0025136 19.60 0.000 1.043168 1.053131
_cons | .0398168 .0040783 -31.47 0.000 .0325014 .0487787
-------------+----------------------------------------------------------------
Stage_2_HTN |
_IMJ2_1 | 1.218877 .1194473 2.02 0.046 1.003708 1.480172
_IMJ2_2 | 1.122065 .1956506 0.66 0.510 .7942012 1.585278
gndr | 2.668387 .1793587 14.60 0.000 2.335565 3.048636
ridageyr | 1.085236 .0027698 32.05 0.000 1.07976 1.090739
_cons | .0040827 .0005002 -44.90 0.000 .0032025 .0052047
------------------------------------------------------------------------------
Note: _cons estimates baseline relative risk for each outcome.use "data\NHANES0518_new.dta", clear
svyset sdmvpsu [pw=wtmec12yr], strata(sdmvstra)
xi: svy,subpop(if include==1 & gndr==0): mlogit BP_cat i.MJ2, rrr pweight: wtmec12yr
VCE: linearized
Single unit: missing
Strata 1: sdmvstra
SU 1: sdmvpsu
FPC 1: <zero>
i.MJ2 _IMJ2_0-2 (naturally coded; _IMJ2_0 omitted)
(running mlogit on estimation sample)
Survey: Multinomial logistic regression
Number of strata = 105 Number of obs = 70,190
Number of PSUs = 214 Population size = 306,545,053
Subpop. no. obs = 10,679
Subpop. size = 70,330,509.5
Design df = 109
F( 6, 104) = 1.77
Prob > F = 0.1125
------------------------------------------------------------------------------
| Linearized
BP_cat | RRR Std. Err. t P>|t| [95% Conf. Interval]
-------------+----------------------------------------------------------------
Normal | (base outcome)
-------------+----------------------------------------------------------------
Elevated |
_IMJ2_1 | .8097371 .1159149 -1.47 0.143 .6097131 1.075381
_IMJ2_2 | .9541053 .2362193 -0.19 0.850 .5841014 1.558491
_cons | .2161699 .0098768 -33.52 0.000 .1974545 .2366592
-------------+----------------------------------------------------------------
Stage_1_HTN |
_IMJ2_1 | .8153086 .101456 -1.64 0.104 .6371041 1.043359
_IMJ2_2 | .8416749 .1789191 -0.81 0.419 .5522921 1.282685
_cons | .2749268 .0115081 -30.85 0.000 .2530386 .2987083
-------------+----------------------------------------------------------------
Stage_2_HTN |
_IMJ2_1 | .7260548 .1032662 -2.25 0.026 .5477023 .9624856
_IMJ2_2 | .8284301 .2217825 -0.70 0.484 .4873252 1.408293
_cons | .1391744 .0077181 -35.56 0.000 .1246881 .1553437
------------------------------------------------------------------------------
Note: _cons estimates baseline relative risk for each outcome.use "data\NHANES0518_new.dta", clear
svyset sdmvpsu [pw=wtmec12yr], strata(sdmvstra)
xi: svy,subpop(if include==1 & gndr==1): mlogit BP_cat i.MJ2, rrr pweight: wtmec12yr
VCE: linearized
Single unit: missing
Strata 1: sdmvstra
SU 1: sdmvpsu
FPC 1: <zero>
i.MJ2 _IMJ2_0-2 (naturally coded; _IMJ2_0 omitted)
(running mlogit on estimation sample)
Survey: Multinomial logistic regression
Number of strata = 105 Number of obs = 70,190
Number of PSUs = 214 Population size = 306,545,053
Subpop. no. obs = 10,341
Subpop. size = 71,193,951.1
Design df = 109
F( 6, 104) = 2.43
Prob > F = 0.0310
------------------------------------------------------------------------------
| Linearized
BP_cat | RRR Std. Err. t P>|t| [95% Conf. Interval]
-------------+----------------------------------------------------------------
Normal | (base outcome)
-------------+----------------------------------------------------------------
Elevated |
_IMJ2_1 | 1.168872 .1019609 1.79 0.076 .9832934 1.389476
_IMJ2_2 | 1.303918 .1905679 1.82 0.072 .9760012 1.742008
_cons | .4424707 .0181896 -19.83 0.000 .407849 .4800313
-------------+----------------------------------------------------------------
Stage_1_HTN |
_IMJ2_1 | .9193642 .0990083 -0.78 0.437 .7426613 1.13811
_IMJ2_2 | .792077 .1263921 -1.46 0.147 .5773191 1.086723
_cons | .6050349 .0253812 -11.98 0.000 .5567646 .6574901
-------------+----------------------------------------------------------------
Stage_2_HTN |
_IMJ2_1 | .9055911 .1102886 -0.81 0.417 .7113832 1.152818
_IMJ2_2 | .7835272 .1528135 -1.25 0.214 .5323266 1.153268
_cons | .3292496 .0180238 -20.29 0.000 .2953966 .3669822
------------------------------------------------------------------------------
Note: _cons estimates baseline relative risk for each outcome.use "data\NHANES0518_new.dta", clear
svyset sdmvpsu [pw=wtmec12yr], strata(sdmvstra)
xi: svy,subpop(if include==1): mlogit BP_cat i.MJ2, rrr pweight: wtmec12yr
VCE: linearized
Single unit: missing
Strata 1: sdmvstra
SU 1: sdmvpsu
FPC 1: <zero>
i.MJ2 _IMJ2_0-2 (naturally coded; _IMJ2_0 omitted)
(running mlogit on estimation sample)
Survey: Multinomial logistic regression
Number of strata = 105 Number of obs = 70,190
Number of PSUs = 214 Population size = 306,545,053
Subpop. no. obs = 21,020
Subpop. size = 141,524,461
Design df = 109
F( 6, 104) = 2.22
Prob > F = 0.0467
------------------------------------------------------------------------------
| Linearized
BP_cat | RRR Std. Err. t P>|t| [95% Conf. Interval]
-------------+----------------------------------------------------------------
Normal | (base outcome)
-------------+----------------------------------------------------------------
Elevated |
_IMJ2_1 | 1.12882 .0853281 1.60 0.112 .9717611 1.311263
_IMJ2_2 | 1.367861 .1567383 2.73 0.007 1.089961 1.716616
_cons | .3045146 .0101963 -35.51 0.000 .2849618 .325409
-------------+----------------------------------------------------------------
Stage_1_HTN |
_IMJ2_1 | .9606186 .0796187 -0.48 0.629 .8150965 1.132121
_IMJ2_2 | .9212273 .1022908 -0.74 0.462 .7392485 1.148003
_cons | .4037964 .0129189 -28.34 0.000 .3789865 .4302306
-------------+----------------------------------------------------------------
Stage_2_HTN |
_IMJ2_1 | .9290549 .0868315 -0.79 0.433 .7719571 1.118123
_IMJ2_2 | .9196586 .1445331 -0.53 0.595 .6735199 1.255749
_cons | .2133771 .009085 -36.28 0.000 .1961097 .232165
------------------------------------------------------------------------------
Note: _cons estimates baseline relative risk for each outcome.use "data\NHANES0518_new.dta", clear
svyset sdmvpsu [pw=wtmec12yr], strata(sdmvstra)
xi: svy,subpop(if include==1): mlogit BP_cat i.MJ2 gndr ridageyr, rrr pweight: wtmec12yr
VCE: linearized
Single unit: missing
Strata 1: sdmvstra
SU 1: sdmvpsu
FPC 1: <zero>
i.MJ2 _IMJ2_0-2 (naturally coded; _IMJ2_0 omitted)
(running mlogit on estimation sample)
Survey: Multinomial logistic regression
Number of strata = 105 Number of obs = 70,190
Number of PSUs = 214 Population size = 306,545,053
Subpop. no. obs = 21,020
Subpop. size = 141,524,461
Design df = 109
F( 12, 98) = 135.85
Prob > F = 0.0000
------------------------------------------------------------------------------
| Linearized
BP_cat | RRR Std. Err. t P>|t| [95% Conf. Interval]
-------------+----------------------------------------------------------------
Normal | (base outcome)
-------------+----------------------------------------------------------------
Elevated |
_IMJ2_1 | 1.174563 .0941209 2.01 0.047 1.002078 1.376737
_IMJ2_2 | 1.347399 .168559 2.38 0.019 1.051516 1.72654
gndr | 2.222371 .1048229 16.93 0.000 2.024031 2.440147
ridageyr | 1.026825 .0027857 9.76 0.000 1.021319 1.032361
_cons | .0735952 .0079714 -24.09 0.000 .0593769 .0912182
-------------+----------------------------------------------------------------
Stage_1_HTN |
_IMJ2_1 | 1.100645 .093988 1.12 0.264 .929275 1.303618
_IMJ2_2 | .991614 .1125176 -0.07 0.941 .7919053 1.241687
gndr | 2.362098 .1160804 17.49 0.000 2.142879 2.603742
ridageyr | 1.048138 .0025136 19.60 0.000 1.043168 1.053131
_cons | .0398168 .0040783 -31.47 0.000 .0325014 .0487787
-------------+----------------------------------------------------------------
Stage_2_HTN |
_IMJ2_1 | 1.218877 .1194473 2.02 0.046 1.003708 1.480172
_IMJ2_2 | 1.122065 .1956506 0.66 0.510 .7942012 1.585278
gndr | 2.668387 .1793587 14.60 0.000 2.335565 3.048636
ridageyr | 1.085236 .0027698 32.05 0.000 1.07976 1.090739
_cons | .0040827 .0005002 -44.90 0.000 .0032025 .0052047
------------------------------------------------------------------------------
Note: _cons estimates baseline relative risk for each outcome.use "data\NHANES0518_new.dta", clear
svyset sdmvpsu [pw=wtmec12yr], strata(sdmvstra)
xi: svy,subpop(if include==1 & gndr==0): mlogit BP_cat i.MJ2 ridageyr, rrr pweight: wtmec12yr
VCE: linearized
Single unit: missing
Strata 1: sdmvstra
SU 1: sdmvpsu
FPC 1: <zero>
i.MJ2 _IMJ2_0-2 (naturally coded; _IMJ2_0 omitted)
(running mlogit on estimation sample)
Survey: Multinomial logistic regression
Number of strata = 105 Number of obs = 70,190
Number of PSUs = 214 Population size = 306,545,053
Subpop. no. obs = 10,679
Subpop. size = 70,330,509.5
Design df = 109
F( 9, 101) = 107.17
Prob > F = 0.0000
------------------------------------------------------------------------------
| Linearized
BP_cat | RRR Std. Err. t P>|t| [95% Conf. Interval]
-------------+----------------------------------------------------------------
Normal | (base outcome)
-------------+----------------------------------------------------------------
Elevated |
_IMJ2_1 | 1.073181 .1508434 0.50 0.616 .812245 1.417942
_IMJ2_2 | 1.208898 .3014948 0.76 0.448 .7374284 1.981799
ridageyr | 1.053534 .003991 13.77 0.000 1.045654 1.061474
_cons | .0263858 .0042208 -22.72 0.000 .0192168 .0362293
-------------+----------------------------------------------------------------
Stage_1_HTN |
_IMJ2_1 | 1.157565 .1506857 1.12 0.263 .8943271 1.498284
_IMJ2_2 | 1.126787 .2449948 0.55 0.584 .7323004 1.733782
ridageyr | 1.068428 .0042994 16.45 0.000 1.059941 1.076984
_cons | .0180336 .0033011 -21.94 0.000 .0125464 .0259206
-------------+----------------------------------------------------------------
Stage_2_HTN |
_IMJ2_1 | 1.223032 .1930029 1.28 0.205 .8945499 1.672135
_IMJ2_2 | 1.261376 .3773209 0.78 0.439 .6972083 2.282058
ridageyr | 1.115458 .004349 28.02 0.000 1.106871 1.124111
_cons | .0012028 .0002358 -34.30 0.000 .0008156 .0017738
------------------------------------------------------------------------------
Note: _cons estimates baseline relative risk for each outcome.use "data\NHANES0518_new.dta", clear
svyset sdmvpsu [pw=wtmec12yr], strata(sdmvstra)
xi: svy,subpop(if include==1 & gndr==1): mlogit BP_cat i.MJ2 ridageyr, rrr pweight: wtmec12yr
VCE: linearized
Single unit: missing
Strata 1: sdmvstra
SU 1: sdmvpsu
FPC 1: <zero>
i.MJ2 _IMJ2_0-2 (naturally coded; _IMJ2_0 omitted)
(running mlogit on estimation sample)
Survey: Multinomial logistic regression
Number of strata = 105 Number of obs = 70,190
Number of PSUs = 214 Population size = 306,545,053
Subpop. no. obs = 10,341
Subpop. size = 71,193,951.1
Design df = 109
F( 9, 101) = 43.35
Prob > F = 0.0000
------------------------------------------------------------------------------
| Linearized
BP_cat | RRR Std. Err. t P>|t| [95% Conf. Interval]
-------------+----------------------------------------------------------------
Normal | (base outcome)
-------------+----------------------------------------------------------------
Elevated |
_IMJ2_1 | 1.192354 .1076517 1.95 0.054 .9969918 1.425997
_IMJ2_2 | 1.329292 .1994886 1.90 0.061 .9872915 1.789763
ridageyr | 1.004148 .0033446 1.24 0.217 .9975408 1.010799
_cons | .3774005 .0521229 -7.06 0.000 .2870271 .4962289
-------------+----------------------------------------------------------------
Stage_1_HTN |
_IMJ2_1 | 1.05689 .1143265 0.51 0.610 .8529415 1.309604
_IMJ2_2 | .9080252 .1436316 -0.61 0.543 .6636561 1.242375
ridageyr | 1.029751 .0028605 10.55 0.000 1.024097 1.035436
_cons | .1871393 .0223335 -14.04 0.000 .1477205 .2370768
-------------+----------------------------------------------------------------
Stage_2_HTN |
_IMJ2_1 | 1.190368 .1461572 1.42 0.159 .9332426 1.518336
_IMJ2_2 | 1.028267 .2194621 0.13 0.896 .6735895 1.5697
ridageyr | 1.06313 .0037561 17.33 0.000 1.055711 1.070601
_cons | .0252106 .0042179 -22.00 0.000 .0180956 .0351231
------------------------------------------------------------------------------
Note: _cons estimates baseline relative risk for each outcome.use "data\NHANES0518_new.dta", clear
svyset sdmvpsu [pw=wtmec12yr], strata(sdmvstra)
xi: svy,subpop(if include==1): mlogit BP_cat i.MJ2 gndr ridageyr, rrr pweight: wtmec12yr
VCE: linearized
Single unit: missing
Strata 1: sdmvstra
SU 1: sdmvpsu
FPC 1: <zero>
i.MJ2 _IMJ2_0-2 (naturally coded; _IMJ2_0 omitted)
(running mlogit on estimation sample)
Survey: Multinomial logistic regression
Number of strata = 105 Number of obs = 70,190
Number of PSUs = 214 Population size = 306,545,053
Subpop. no. obs = 21,020
Subpop. size = 141,524,461
Design df = 109
F( 12, 98) = 135.85
Prob > F = 0.0000
------------------------------------------------------------------------------
| Linearized
BP_cat | RRR Std. Err. t P>|t| [95% Conf. Interval]
-------------+----------------------------------------------------------------
Normal | (base outcome)
-------------+----------------------------------------------------------------
Elevated |
_IMJ2_1 | 1.174563 .0941209 2.01 0.047 1.002078 1.376737
_IMJ2_2 | 1.347399 .168559 2.38 0.019 1.051516 1.72654
gndr | 2.222371 .1048229 16.93 0.000 2.024031 2.440147
ridageyr | 1.026825 .0027857 9.76 0.000 1.021319 1.032361
_cons | .0735952 .0079714 -24.09 0.000 .0593769 .0912182
-------------+----------------------------------------------------------------
Stage_1_HTN |
_IMJ2_1 | 1.100645 .093988 1.12 0.264 .929275 1.303618
_IMJ2_2 | .991614 .1125176 -0.07 0.941 .7919053 1.241687
gndr | 2.362098 .1160804 17.49 0.000 2.142879 2.603742
ridageyr | 1.048138 .0025136 19.60 0.000 1.043168 1.053131
_cons | .0398168 .0040783 -31.47 0.000 .0325014 .0487787
-------------+----------------------------------------------------------------
Stage_2_HTN |
_IMJ2_1 | 1.218877 .1194473 2.02 0.046 1.003708 1.480172
_IMJ2_2 | 1.122065 .1956506 0.66 0.510 .7942012 1.585278
gndr | 2.668387 .1793587 14.60 0.000 2.335565 3.048636
ridageyr | 1.085236 .0027698 32.05 0.000 1.07976 1.090739
_cons | .0040827 .0005002 -44.90 0.000 .0032025 .0052047
------------------------------------------------------------------------------
Note: _cons estimates baseline relative risk for each outcome.use "data\NHANES0518_new.dta", clear
svyset sdmvpsu [pw=wtmec12yr], strata(sdmvstra)
xi: svy,subpop(if include==1): mlogit BP_cat i.MJ2 gndr ridageyr i.AL_cat bmxbmi, rrr pweight: wtmec12yr
VCE: linearized
Single unit: missing
Strata 1: sdmvstra
SU 1: sdmvpsu
FPC 1: <zero>
i.MJ2 _IMJ2_0-2 (naturally coded; _IMJ2_0 omitted)
i.AL_cat _IAL_cat_0-2 (naturally coded; _IAL_cat_0 omitted)
(running mlogit on estimation sample)
Survey: Multinomial logistic regression
Number of strata = 105 Number of obs = 68,614
Number of PSUs = 214 Population size = 296,797,030
Subpop. no. obs = 19,444
Subpop. size = 131,776,438
Design df = 109
F( 21, 89) = 88.29
Prob > F = 0.0000
------------------------------------------------------------------------------
| Linearized
BP_cat | RRR Std. Err. t P>|t| [95% Conf. Interval]
-------------+----------------------------------------------------------------
Normal | (base outcome)
-------------+----------------------------------------------------------------
Elevated |
_IMJ2_1 | 1.205777 .1003403 2.25 0.027 1.02244 1.421988
_IMJ2_2 | 1.303003 .1732425 1.99 0.049 1.001157 1.695854
gndr | 2.40363 .123965 17.00 0.000 2.170076 2.662321
ridageyr | 1.026969 .0030686 8.91 0.000 1.020905 1.033069
_IAL_cat_1 | 1.081904 .0766249 1.11 0.269 .9402134 1.244948
_IAL_cat_2 | 1.310025 .1081971 3.27 0.001 1.112214 1.543018
bmxbmi | 1.064217 .0049431 13.40 0.000 1.054465 1.074059
_cons | .011041 .001912 -26.02 0.000 .0078334 .0155621
-------------+----------------------------------------------------------------
Stage_1_HTN |
_IMJ2_1 | 1.171018 .1020712 1.81 0.073 .9852266 1.391846
_IMJ2_2 | 1.074954 .1348259 0.58 0.566 .8383583 1.378321
gndr | 2.592831 .1429113 17.29 0.000 2.324509 2.892127
ridageyr | 1.048616 .0027539 18.08 0.000 1.043172 1.054088
_IAL_cat_1 | 1.12873 .0774353 1.77 0.080 .9852323 1.293127
_IAL_cat_2 | 1.300216 .0995582 3.43 0.001 1.117139 1.513297
bmxbmi | 1.077195 .0042692 18.76 0.000 1.068766 1.085689
_cons | .0039603 .000705 -31.07 0.000 .0027829 .005636
-------------+----------------------------------------------------------------
Stage_2_HTN |
_IMJ2_1 | 1.244438 .1362472 2.00 0.048 1.00169 1.546013
_IMJ2_2 | 1.252059 .2226305 1.26 0.209 .880181 1.781055
gndr | 3.096627 .2266328 15.44 0.000 2.678506 3.580018
ridageyr | 1.088977 .0032248 28.78 0.000 1.082605 1.095388
_IAL_cat_1 | 1.293558 .0992258 3.36 0.001 1.111115 1.505957
_IAL_cat_2 | 1.635608 .1629647 4.94 0.000 1.342509 1.992697
bmxbmi | 1.104262 .0056514 19.38 0.000 1.093118 1.11552
_cons | .0001461 .0000337 -38.31 0.000 .0000925 .0002307
------------------------------------------------------------------------------
Note: _cons estimates baseline relative risk for each outcome.use "data\NHANES0518_new.dta", clear
svyset sdmvpsu [pw=wtmec12yr], strata(sdmvstra)
xi: svy,subpop(if include==1 & gndr==0): mlogit BP_cat i.MJ2 ridageyr i.AL_cat bmxbmi, rrr pweight: wtmec12yr
VCE: linearized
Single unit: missing
Strata 1: sdmvstra
SU 1: sdmvpsu
FPC 1: <zero>
i.MJ2 _IMJ2_0-2 (naturally coded; _IMJ2_0 omitted)
i.AL_cat _IAL_cat_0-2 (naturally coded; _IAL_cat_0 omitted)
(running mlogit on estimation sample)
Survey: Multinomial logistic regression
Number of strata = 105 Number of obs = 69,498
Number of PSUs = 214 Population size = 302,374,280
Subpop. no. obs = 9,987
Subpop. size = 66,159,736.7
Design df = 109
F( 18, 92) = 50.52
Prob > F = 0.0000
------------------------------------------------------------------------------
| Linearized
BP_cat | RRR Std. Err. t P>|t| [95% Conf. Interval]
-------------+----------------------------------------------------------------
Normal | (base outcome)
-------------+----------------------------------------------------------------
Elevated |
_IMJ2_1 | 1.057479 .1663734 0.36 0.723 .7741917 1.444425
_IMJ2_2 | .940194 .2318249 -0.25 0.803 .5767389 1.532695
ridageyr | 1.052513 .0044564 12.09 0.000 1.043718 1.061383
_IAL_cat_1 | 1.019527 .0997199 0.20 0.844 .8398625 1.237626
_IAL_cat_2 | 1.257752 .1824334 1.58 0.117 .9435061 1.676662
bmxbmi | 1.070391 .0056648 12.85 0.000 1.059222 1.081677
_cons | .003589 .0008772 -23.03 0.000 .002211 .0058256
-------------+----------------------------------------------------------------
Stage_1_HTN |
_IMJ2_1 | 1.200665 .1657115 1.33 0.188 .9133205 1.578413
_IMJ2_2 | 1.121593 .255824 0.50 0.616 .7136825 1.762647
ridageyr | 1.070265 .0049779 14.60 0.000 1.060445 1.080177
_IAL_cat_1 | 1.093994 .1108211 0.89 0.377 .8949945 1.337239
_IAL_cat_2 | 1.151269 .173583 0.93 0.352 .8538783 1.552237
bmxbmi | 1.073228 .0051134 14.83 0.000 1.063142 1.083411
_cons | .0019576 .0005675 -21.51 0.000 .0011021 .0034773
-------------+----------------------------------------------------------------
Stage_2_HTN |
_IMJ2_1 | 1.05934 .178823 0.34 0.733 .7581138 1.480255
_IMJ2_2 | 1.288758 .3670241 0.89 0.375 .7328868 2.266238
ridageyr | 1.120796 .0051528 24.81 0.000 1.11063 1.131055
_IAL_cat_1 | 1.157486 .1347632 1.26 0.212 .9189666 1.457913
_IAL_cat_2 | 1.721043 .2775155 3.37 0.001 1.250247 2.369123
bmxbmi | 1.090813 .0075302 12.59 0.000 1.07599 1.105841
_cons | .0000635 .000022 -27.84 0.000 .0000319 .0001263
------------------------------------------------------------------------------
Note: _cons estimates baseline relative risk for each outcome.use "data\NHANES0518_new.dta", clear
svyset sdmvpsu [pw=wtmec12yr], strata(sdmvstra)
xi: svy,subpop(if include==1 & gndr==1): mlogit BP_cat i.MJ2 ridageyr i.AL_cat bmxbmi, rrr pweight: wtmec12yr
VCE: linearized
Single unit: missing
Strata 1: sdmvstra
SU 1: sdmvpsu
FPC 1: <zero>
i.MJ2 _IMJ2_0-2 (naturally coded; _IMJ2_0 omitted)
i.AL_cat _IAL_cat_0-2 (naturally coded; _IAL_cat_0 omitted)
(running mlogit on estimation sample)
Survey: Multinomial logistic regression
Number of strata = 105 Number of obs = 69,306
Number of PSUs = 214 Population size = 300,967,803
Subpop. no. obs = 9,457
Subpop. size = 65,616,701
Design df = 109
F( 18, 92) = 33.84
Prob > F = 0.0000
------------------------------------------------------------------------------
| Linearized
BP_cat | RRR Std. Err. t P>|t| [95% Conf. Interval]
-------------+----------------------------------------------------------------
Normal | (base outcome)
-------------+----------------------------------------------------------------
Elevated |
_IMJ2_1 | 1.264938 .1165922 2.55 0.012 1.053735 1.518473
_IMJ2_2 | 1.379079 .2322852 1.91 0.059 .9876595 1.925621
ridageyr | 1.004976 .0036403 1.37 0.173 .9977867 1.012217
_IAL_cat_1 | 1.169623 .1080269 1.70 0.093 .9739708 1.404578
_IAL_cat_2 | 1.355378 .1352987 3.05 0.003 1.112081 1.651902
bmxbmi | 1.064844 .007682 8.71 0.000 1.049727 1.080179
_cons | .0569171 .0146403 -11.14 0.000 .0341851 .094765
-------------+----------------------------------------------------------------
Stage_1_HTN |
_IMJ2_1 | 1.177737 .1347072 1.43 0.155 .9388505 1.477406
_IMJ2_2 | 1.041642 .1827003 0.23 0.817 .735774 1.474661
ridageyr | 1.028865 .0030745 9.52 0.000 1.022789 1.034976
_IAL_cat_1 | 1.166109 .0964313 1.86 0.066 .9898256 1.373787
_IAL_cat_2 | 1.362106 .13169 3.20 0.002 1.124583 1.649795
bmxbmi | 1.089893 .0066267 14.16 0.000 1.076838 1.103106
_cons | .0149519 .00329 -19.10 0.000 .009667 .0231259
-------------+----------------------------------------------------------------
Stage_2_HTN |
_IMJ2_1 | 1.359583 .1903247 2.19 0.030 1.030174 1.794325
_IMJ2_2 | 1.229514 .2835473 0.90 0.372 .7784446 1.941955
ridageyr | 1.065788 .0043725 15.53 0.000 1.057157 1.07449
_IAL_cat_1 | 1.429549 .1600167 3.19 0.002 1.145118 1.78463
_IAL_cat_2 | 1.624723 .1901672 4.15 0.000 1.288342 2.048932
bmxbmi | 1.127731 .0087038 15.58 0.000 1.110612 1.145114
_cons | .0005553 .0001779 -23.40 0.000 .0002943 .0010477
------------------------------------------------------------------------------
Note: _cons estimates baseline relative risk for each outcome.use "data\NHANES0518_new.dta", clear
svyset sdmvpsu [pw=wtmec12yr], strata(sdmvstra)
xi: svy,subpop(if include==1): mlogit BP_cat i.MJ2 ridageyr gndr i.AL_cat bmxbmi, rrr pweight: wtmec12yr
VCE: linearized
Single unit: missing
Strata 1: sdmvstra
SU 1: sdmvpsu
FPC 1: <zero>
i.MJ2 _IMJ2_0-2 (naturally coded; _IMJ2_0 omitted)
i.AL_cat _IAL_cat_0-2 (naturally coded; _IAL_cat_0 omitted)
(running mlogit on estimation sample)
Survey: Multinomial logistic regression
Number of strata = 105 Number of obs = 68,614
Number of PSUs = 214 Population size = 296,797,030
Subpop. no. obs = 19,444
Subpop. size = 131,776,438
Design df = 109
F( 21, 89) = 88.29
Prob > F = 0.0000
------------------------------------------------------------------------------
| Linearized
BP_cat | RRR Std. Err. t P>|t| [95% Conf. Interval]
-------------+----------------------------------------------------------------
Normal | (base outcome)
-------------+----------------------------------------------------------------
Elevated |
_IMJ2_1 | 1.205777 .1003403 2.25 0.027 1.02244 1.421988
_IMJ2_2 | 1.303003 .1732425 1.99 0.049 1.001157 1.695854
ridageyr | 1.026969 .0030686 8.91 0.000 1.020905 1.033069
gndr | 2.40363 .123965 17.00 0.000 2.170076 2.662321
_IAL_cat_1 | 1.081904 .0766249 1.11 0.269 .9402134 1.244948
_IAL_cat_2 | 1.310025 .1081971 3.27 0.001 1.112214 1.543018
bmxbmi | 1.064217 .0049431 13.40 0.000 1.054465 1.074059
_cons | .011041 .001912 -26.02 0.000 .0078334 .0155621
-------------+----------------------------------------------------------------
Stage_1_HTN |
_IMJ2_1 | 1.171018 .1020712 1.81 0.073 .9852266 1.391846
_IMJ2_2 | 1.074954 .1348259 0.58 0.566 .8383583 1.378321
ridageyr | 1.048616 .0027539 18.08 0.000 1.043172 1.054088
gndr | 2.592831 .1429113 17.29 0.000 2.324509 2.892127
_IAL_cat_1 | 1.12873 .0774353 1.77 0.080 .9852323 1.293127
_IAL_cat_2 | 1.300216 .0995582 3.43 0.001 1.117139 1.513297
bmxbmi | 1.077195 .0042692 18.76 0.000 1.068766 1.085689
_cons | .0039603 .000705 -31.07 0.000 .0027829 .005636
-------------+----------------------------------------------------------------
Stage_2_HTN |
_IMJ2_1 | 1.244438 .1362472 2.00 0.048 1.00169 1.546013
_IMJ2_2 | 1.252059 .2226305 1.26 0.209 .880181 1.781055
ridageyr | 1.088977 .0032248 28.78 0.000 1.082605 1.095388
gndr | 3.096627 .2266328 15.44 0.000 2.678506 3.580018
_IAL_cat_1 | 1.293558 .0992258 3.36 0.001 1.111115 1.505957
_IAL_cat_2 | 1.635608 .1629647 4.94 0.000 1.342509 1.992697
bmxbmi | 1.104262 .0056514 19.38 0.000 1.093118 1.11552
_cons | .0001461 .0000337 -38.31 0.000 .0000925 .0002307
------------------------------------------------------------------------------
Note: _cons estimates baseline relative risk for each outcome.use "data\NHANES0518_new.dta", clear
svyset sdmvpsu [pw=wtmec12yr], strata(sdmvstra)
ta gndr MJ2 if include==1 pweight: wtmec12yr
VCE: linearized
Single unit: missing
Strata 1: sdmvstra
SU 1: sdmvpsu
FPC 1: <zero>
| Cannabis Use Collapsed
Gender | Never/Pas Light-Mod Frequent | Total
-----------+---------------------------------+----------
Female | 9,532 826 321 | 10,679
Male | 8,475 1,271 595 | 10,341
-----------+---------------------------------+----------
Total | 18,007 2,097 916 | 21,020 use "data\NHANES0518_new.dta", clear
svyset sdmvpsu [pw=wtmec12yr], strata(sdmvstra)
xi: svy,subpop(if include==1 & gndr==0): logit BP_abn i.MJ2, or pweight: wtmec12yr
VCE: linearized
Single unit: missing
Strata 1: sdmvstra
SU 1: sdmvpsu
FPC 1: <zero>
i.MJ2 _IMJ2_0-2 (naturally coded; _IMJ2_0 omitted)
(running logit on estimation sample)
Survey: Logistic regression
Number of strata = 105 Number of obs = 70,190
Number of PSUs = 214 Population size = 306,545,053
Subpop. no. obs = 10,679
Subpop. size = 70,330,509.5
Design df = 109
F( 2, 108) = 4.13
Prob > F = 0.0187
------------------------------------------------------------------------------
| Linearized
BP_abn | Odds Ratio Std. Err. t P>|t| [95% Conf. Interval]
-------------+----------------------------------------------------------------
_IMJ2_1 | .7936889 .0653237 -2.81 0.006 .6742277 .9343166
_IMJ2_2 | .8773115 .146366 -0.78 0.434 .6303034 1.221119
_cons | .630271 .0197932 -14.70 0.000 .5922374 .6707472
------------------------------------------------------------------------------
Note: _cons estimates baseline odds.use "data\NHANES0518_new.dta", clear
svyset sdmvpsu [pw=wtmec12yr], strata(sdmvstra)
xi: svy,subpop(if include==1 & gndr==1): logit BP_abn i.MJ2, or pweight: wtmec12yr
VCE: linearized
Single unit: missing
Strata 1: sdmvstra
SU 1: sdmvpsu
FPC 1: <zero>
i.MJ2 _IMJ2_0-2 (naturally coded; _IMJ2_0 omitted)
(running logit on estimation sample)
Survey: Logistic regression
Number of strata = 105 Number of obs = 70,190
Number of PSUs = 214 Population size = 306,545,053
Subpop. no. obs = 10,341
Subpop. size = 71,193,951.1
Design df = 109
F( 2, 108) = 0.09
Prob > F = 0.9181
------------------------------------------------------------------------------
| Linearized
BP_abn | Odds Ratio Std. Err. t P>|t| [95% Conf. Interval]
-------------+----------------------------------------------------------------
_IMJ2_1 | .996259 .075491 -0.05 0.961 .8573316 1.157699
_IMJ2_2 | .9545312 .1077371 -0.41 0.681 .7631979 1.193832
_cons | 1.376755 .0486795 9.04 0.000 1.283577 1.476697
------------------------------------------------------------------------------
Note: _cons estimates baseline odds.use "data\NHANES0518_new.dta", clear
svyset sdmvpsu [pw=wtmec12yr], strata(sdmvstra)
xi: svy,subpop(if include==1): logit BP_abn i.MJ2, or pweight: wtmec12yr
VCE: linearized
Single unit: missing
Strata 1: sdmvstra
SU 1: sdmvpsu
FPC 1: <zero>
i.MJ2 _IMJ2_0-2 (naturally coded; _IMJ2_0 omitted)
(running logit on estimation sample)
Survey: Logistic regression
Number of strata = 105 Number of obs = 70,190
Number of PSUs = 214 Population size = 306,545,053
Subpop. no. obs = 21,020
Subpop. size = 141,524,461
Design df = 109
F( 2, 108) = 0.31
Prob > F = 0.7360
------------------------------------------------------------------------------
| Linearized
BP_abn | Odds Ratio Std. Err. t P>|t| [95% Conf. Interval]
-------------+----------------------------------------------------------------
_IMJ2_1 | 1.008883 .0533953 0.17 0.868 .9084166 1.120461
_IMJ2_2 | 1.068427 .0898673 0.79 0.433 .9043671 1.262248
_cons | .9216882 .024326 -3.09 0.003 .8747143 .9711848
------------------------------------------------------------------------------
Note: _cons estimates baseline odds.use "data\NHANES0518_new.dta", clear
svyset sdmvpsu [pw=wtmec12yr], strata(sdmvstra)
xi: svy,subpop(if include==1): logit BP_abn i.MJ2 gndr ridageyr, or pweight: wtmec12yr
VCE: linearized
Single unit: missing
Strata 1: sdmvstra
SU 1: sdmvpsu
FPC 1: <zero>
i.MJ2 _IMJ2_0-2 (naturally coded; _IMJ2_0 omitted)
(running logit on estimation sample)
Survey: Logistic regression
Number of strata = 105 Number of obs = 70,190
Number of PSUs = 214 Population size = 306,545,053
Subpop. no. obs = 21,020
Subpop. size = 141,524,461
Design df = 109
F( 4, 106) = 316.01
Prob > F = 0.0000
------------------------------------------------------------------------------
| Linearized
BP_abn | Odds Ratio Std. Err. t P>|t| [95% Conf. Interval]
-------------+----------------------------------------------------------------
_IMJ2_1 | 1.154821 .0673943 2.47 0.015 1.028683 1.296426
_IMJ2_2 | 1.154975 .110962 1.50 0.137 .9547223 1.397231
gndr | 2.368786 .0882831 23.14 0.000 2.200118 2.550384
ridageyr | 1.047687 .0020572 23.73 0.000 1.043618 1.051772
_cons | .0922189 .0074624 -29.46 0.000 .0785538 .1082612
------------------------------------------------------------------------------
Note: _cons estimates baseline odds.use "data\NHANES0518_new.dta", clear
svyset sdmvpsu [pw=wtmec12yr], strata(sdmvstra)
xi: svy,subpop(if include==1 & gndr==0): logit BP_abn i.MJ2 ridageyr, or pweight: wtmec12yr
VCE: linearized
Single unit: missing
Strata 1: sdmvstra
SU 1: sdmvpsu
FPC 1: <zero>
i.MJ2 _IMJ2_0-2 (naturally coded; _IMJ2_0 omitted)
(running logit on estimation sample)
Survey: Logistic regression
Number of strata = 105 Number of obs = 70,190
Number of PSUs = 214 Population size = 306,545,053
Subpop. no. obs = 10,679
Subpop. size = 70,330,509.5
Design df = 109
F( 3, 107) = 210.39
Prob > F = 0.0000
------------------------------------------------------------------------------
| Linearized
BP_abn | Odds Ratio Std. Err. t P>|t| [95% Conf. Interval]
-------------+----------------------------------------------------------------
_IMJ2_1 | 1.140678 .0985242 1.52 0.130 .9612064 1.35366
_IMJ2_2 | 1.186826 .2077724 0.98 0.330 .8388764 1.679098
ridageyr | 1.071178 .0029664 24.83 0.000 1.065315 1.077074
_cons | .0367337 .0044348 -27.37 0.000 .0289165 .0466641
------------------------------------------------------------------------------
Note: _cons estimates baseline odds.use "data\NHANES0518_new.dta", clear
svyset sdmvpsu [pw=wtmec12yr], strata(sdmvstra)
xi: svy,subpop(if include==1 & gndr==1): logit BP_abn i.MJ2 ridageyr, or pweight: wtmec12yr
VCE: linearized
Single unit: missing
Strata 1: sdmvstra
SU 1: sdmvpsu
FPC 1: <zero>
i.MJ2 _IMJ2_0-2 (naturally coded; _IMJ2_0 omitted)
(running logit on estimation sample)
Survey: Logistic regression
Number of strata = 105 Number of obs = 70,190
Number of PSUs = 214 Population size = 306,545,053
Subpop. no. obs = 10,341
Subpop. size = 71,193,951.1
Design df = 109
F( 3, 107) = 43.27
Prob > F = 0.0000
------------------------------------------------------------------------------
| Linearized
BP_abn | Odds Ratio Std. Err. t P>|t| [95% Conf. Interval]
-------------+----------------------------------------------------------------
_IMJ2_1 | 1.138015 .0880995 1.67 0.098 .9761408 1.326733
_IMJ2_2 | 1.092278 .1285448 0.75 0.455 .8650377 1.379214
ridageyr | 1.02792 .0025521 11.09 0.000 1.022874 1.03299
_cons | .4581415 .0501147 -7.14 0.000 .3688452 .5690563
------------------------------------------------------------------------------
Note: _cons estimates baseline odds.use "data\NHANES0518_new.dta", clear
svyset sdmvpsu [pw=wtmec12yr], strata(sdmvstra)
xi: svy,subpop(if include==1): logit BP_abn i.MJ2 gndr ridageyr, or pweight: wtmec12yr
VCE: linearized
Single unit: missing
Strata 1: sdmvstra
SU 1: sdmvpsu
FPC 1: <zero>
i.MJ2 _IMJ2_0-2 (naturally coded; _IMJ2_0 omitted)
(running logit on estimation sample)
Survey: Logistic regression
Number of strata = 105 Number of obs = 70,190
Number of PSUs = 214 Population size = 306,545,053
Subpop. no. obs = 21,020
Subpop. size = 141,524,461
Design df = 109
F( 4, 106) = 316.01
Prob > F = 0.0000
------------------------------------------------------------------------------
| Linearized
BP_abn | Odds Ratio Std. Err. t P>|t| [95% Conf. Interval]
-------------+----------------------------------------------------------------
_IMJ2_1 | 1.154821 .0673943 2.47 0.015 1.028683 1.296426
_IMJ2_2 | 1.154975 .110962 1.50 0.137 .9547223 1.397231
gndr | 2.368786 .0882831 23.14 0.000 2.200118 2.550384
ridageyr | 1.047687 .0020572 23.73 0.000 1.043618 1.051772
_cons | .0922189 .0074624 -29.46 0.000 .0785538 .1082612
------------------------------------------------------------------------------
Note: _cons estimates baseline odds.use "data\NHANES0518_new.dta", clear
svyset sdmvpsu [pw=wtmec12yr], strata(sdmvstra)
xi: svy,subpop(if include==1): logit BP_abn i.MJ2 gndr ridageyr i.AL_cat bmxbmi, or pweight: wtmec12yr
VCE: linearized
Single unit: missing
Strata 1: sdmvstra
SU 1: sdmvpsu
FPC 1: <zero>
i.MJ2 _IMJ2_0-2 (naturally coded; _IMJ2_0 omitted)
i.AL_cat _IAL_cat_0-2 (naturally coded; _IAL_cat_0 omitted)
(running logit on estimation sample)
Survey: Logistic regression
Number of strata = 105 Number of obs = 68,614
Number of PSUs = 214 Population size = 296,797,030
Subpop. no. obs = 19,444
Subpop. size = 131,776,438
Design df = 109
F( 7, 103) = 225.00
Prob > F = 0.0000
------------------------------------------------------------------------------
| Linearized
BP_abn | Odds Ratio Std. Err. t P>|t| [95% Conf. Interval]
-------------+----------------------------------------------------------------
_IMJ2_1 | 1.202959 .0733552 3.03 0.003 1.066013 1.357497
_IMJ2_2 | 1.200407 .1243141 1.76 0.081 .9776615 1.473902
gndr | 2.605168 .1086162 22.97 0.000 2.398549 2.829587
ridageyr | 1.047848 .0022484 21.78 0.000 1.043401 1.052314
_IAL_cat_1 | 1.138895 .0584702 2.53 0.013 1.02871 1.260883
_IAL_cat_2 | 1.36091 .0891629 4.70 0.000 1.195185 1.549615
bmxbmi | 1.077406 .0037993 21.14 0.000 1.069902 1.084963
_cons | .0091305 .0012481 -34.36 0.000 .0069636 .0119717
------------------------------------------------------------------------------
Note: _cons estimates baseline odds.use "data\NHANES0518_new.dta", clear
svyset sdmvpsu [pw=wtmec12yr], strata(sdmvstra)
xi: svy,subpop(if include==1 & gndr==0): logit BP_abn i.MJ2 ridageyr i.AL_cat bmxbmi, or pweight: wtmec12yr
VCE: linearized
Single unit: missing
Strata 1: sdmvstra
SU 1: sdmvpsu
FPC 1: <zero>
i.MJ2 _IMJ2_0-2 (naturally coded; _IMJ2_0 omitted)
i.AL_cat _IAL_cat_0-2 (naturally coded; _IAL_cat_0 omitted)
(running logit on estimation sample)
Survey: Logistic regression
Number of strata = 105 Number of obs = 69,498
Number of PSUs = 214 Population size = 302,374,280
Subpop. no. obs = 9,987
Subpop. size = 66,159,736.7
Design df = 109
F( 6, 104) = 114.68
Prob > F = 0.0000
------------------------------------------------------------------------------
| Linearized
BP_abn | Odds Ratio Std. Err. t P>|t| [95% Conf. Interval]
-------------+----------------------------------------------------------------
_IMJ2_1 | 1.126048 .1130626 1.18 0.240 .9228504 1.373987
_IMJ2_2 | 1.083061 .1872574 0.46 0.645 .7688314 1.52572
ridageyr | 1.072018 .003441 21.67 0.000 1.065219 1.078859
_IAL_cat_1 | 1.075934 .0780864 1.01 0.315 .9317854 1.242383
_IAL_cat_2 | 1.282675 .1337174 2.39 0.019 1.043239 1.577066
bmxbmi | 1.075201 .0042838 18.20 0.000 1.066744 1.083724
_cons | .0039128 .0007979 -27.18 0.000 .0026119 .0058617
------------------------------------------------------------------------------
Note: _cons estimates baseline odds.use "data\NHANES0518_new.dta", clear
svyset sdmvpsu [pw=wtmec12yr], strata(sdmvstra)
xi: svy,subpop(if include==1 & gndr==1): logit BP_abn i.MJ2 ridageyr i.AL_cat bmxbmi, or pweight: wtmec12yr
VCE: linearized
Single unit: missing
Strata 1: sdmvstra
SU 1: sdmvpsu
FPC 1: <zero>
i.MJ2 _IMJ2_0-2 (naturally coded; _IMJ2_0 omitted)
i.AL_cat _IAL_cat_0-2 (naturally coded; _IAL_cat_0 omitted)
(running logit on estimation sample)
Survey: Logistic regression
Number of strata = 105 Number of obs = 69,306
Number of PSUs = 214 Population size = 300,967,803
Subpop. no. obs = 9,457
Subpop. size = 65,616,701
Design df = 109
F( 6, 104) = 64.55
Prob > F = 0.0000
------------------------------------------------------------------------------
| Linearized
BP_abn | Odds Ratio Std. Err. t P>|t| [95% Conf. Interval]
-------------+----------------------------------------------------------------
_IMJ2_1 | 1.250669 .102945 2.72 0.008 1.062409 1.472289
_IMJ2_2 | 1.218662 .1688295 1.43 0.156 .9260544 1.603724
ridageyr | 1.027107 .002808 9.78 0.000 1.021557 1.032688
_IAL_cat_1 | 1.212714 .0768931 3.04 0.003 1.069501 1.375103
_IAL_cat_2 | 1.405375 .1175936 4.07 0.000 1.190608 1.658881
bmxbmi | 1.087982 .0057816 15.87 0.000 1.076583 1.099501
_cons | .0377906 .0071692 -17.27 0.000 .0259473 .0550397
------------------------------------------------------------------------------
Note: _cons estimates baseline odds.use "data\NHANES0518_new.dta", clear
svyset sdmvpsu [pw=wtmec12yr], strata(sdmvstra)
xi: svy,subpop(if include==1): logit BP_abn i.MJ2 ridageyr gndr i.AL_cat bmxbmi, or pweight: wtmec12yr
VCE: linearized
Single unit: missing
Strata 1: sdmvstra
SU 1: sdmvpsu
FPC 1: <zero>
i.MJ2 _IMJ2_0-2 (naturally coded; _IMJ2_0 omitted)
i.AL_cat _IAL_cat_0-2 (naturally coded; _IAL_cat_0 omitted)
(running logit on estimation sample)
Survey: Logistic regression
Number of strata = 105 Number of obs = 68,614
Number of PSUs = 214 Population size = 296,797,030
Subpop. no. obs = 19,444
Subpop. size = 131,776,438
Design df = 109
F( 7, 103) = 225.00
Prob > F = 0.0000
------------------------------------------------------------------------------
| Linearized
BP_abn | Odds Ratio Std. Err. t P>|t| [95% Conf. Interval]
-------------+----------------------------------------------------------------
_IMJ2_1 | 1.202959 .0733552 3.03 0.003 1.066013 1.357497
_IMJ2_2 | 1.200407 .1243141 1.76 0.081 .9776615 1.473902
ridageyr | 1.047848 .0022484 21.78 0.000 1.043401 1.052314
gndr | 2.605168 .1086162 22.97 0.000 2.398549 2.829587
_IAL_cat_1 | 1.138895 .0584702 2.53 0.013 1.02871 1.260883
_IAL_cat_2 | 1.36091 .0891629 4.70 0.000 1.195185 1.549615
bmxbmi | 1.077406 .0037993 21.14 0.000 1.069902 1.084963
_cons | .0091305 .0012481 -34.36 0.000 .0069636 .0119717
------------------------------------------------------------------------------
Note: _cons estimates baseline odds.use "data\NHANES0518_new.dta", clear
svyset sdmvpsu [pw=wtmec12yr], strata(sdmvstra)
ta BP_cat MJ_cat if include==1,col
svy, subpop(if include==1): ta BP_cat MJ_cat,col percent pweight: wtmec12yr
VCE: linearized
Single unit: missing
Strata 1: sdmvstra
SU 1: sdmvpsu
FPC 1: <zero>
+-------------------+
| Key |
|-------------------|
| frequency |
| column percentage |
+-------------------+
| Cannabis Use Category
BP Category | Never Use Past Use Current U | Total
------------+---------------------------------+----------
Normal | 5,149 4,193 1,539 | 10,881
| 53.07 50.49 51.08 | 51.76
------------+---------------------------------+----------
Elevated | 1,478 1,311 555 | 3,344
| 15.23 15.79 18.42 | 15.91
------------+---------------------------------+----------
Stage 1 HTN | 1,938 1,760 577 | 4,275
| 19.97 21.19 19.15 | 20.34
------------+---------------------------------+----------
Stage 2 HTN | 1,138 1,040 342 | 2,520
| 11.73 12.52 11.35 | 11.99
------------+---------------------------------+----------
Total | 9,703 8,304 3,013 | 21,020
| 100.00 100.00 100.00 | 100.00
(running tabulate on estimation sample)
Number of strata = 105 Number of obs = 70,190
Number of PSUs = 214 Population size = 306,545,053
Subpop. no. obs = 21,020
Subpop. size = 141,524,461
Design df = 109
--------------------------------------------------
BP | Cannabis Use Category
Category | Never Us Past Use Current Total
----------+---------------------------------------
Normal | 52.66 51.49 51.37 51.94
Elevated | 15.63 16.04 18.8 16.27
Stage 1 | 20.84 21.16 19.68 20.82
Stage 2 | 10.87 11.31 10.15 10.97
|
Total | 100 100 100 100
--------------------------------------------------
Key: column percentage
Pearson:
Uncorrected chi2(6) = 70.3954
Design-based F(5.56, 605.89) = 1.9542 P = 0.0758use "data\NHANES0518_new.dta", clear
svyset sdmvpsu [pw=wtmec12yr], strata(sdmvstra)
ta BP_cat MJ_cat if include==1 & gndr==1,col
svy, subpop(if include==1 & gndr==1): ta BP_cat MJ_cat,col percent pweight: wtmec12yr
VCE: linearized
Single unit: missing
Strata 1: sdmvstra
SU 1: sdmvpsu
FPC 1: <zero>
+-------------------+
| Key |
|-------------------|
| frequency |
| column percentage |
+-------------------+
| Cannabis Use Category
BP Category | Never Use Past Use Current U | Total
------------+---------------------------------+----------
Normal | 1,770 1,739 798 | 4,307
| 42.85 40.03 42.77 | 41.65
------------+---------------------------------+----------
Elevated | 753 809 410 | 1,972
| 18.23 18.62 21.97 | 19.07
------------+---------------------------------+----------
Stage 1 HTN | 1,009 1,128 412 | 2,549
| 24.43 25.97 22.08 | 24.65
------------+---------------------------------+----------
Stage 2 HTN | 599 668 246 | 1,513
| 14.50 15.38 13.18 | 14.63
------------+---------------------------------+----------
Total | 4,131 4,344 1,866 | 10,341
| 100.00 100.00 100.00 | 100.00
(running tabulate on estimation sample)
Number of strata = 105 Number of obs = 70,190
Number of PSUs = 214 Population size = 306,545,053
Subpop. no. obs = 10,341
Subpop. size = 71,193,951.1
Design df = 109
--------------------------------------------------
BP | Cannabis Use Category
Category | Never Us Past Use Current Total
----------+---------------------------------------
Normal | 43.49 41.02 42.51 42.15
Elevated | 18.13 18.98 22.83 19.37
Stage 1 | 24.7 26.02 22.55 24.94
Stage 2 | 13.68 13.98 12.1 13.54
|
Total | 100 100 100 100
--------------------------------------------------
Key: column percentage
Pearson:
Uncorrected chi2(6) = 189.5565
Design-based F(5.54, 604.35) = 2.4934 P = 0.0251use "data\NHANES0518_new.dta", clear
svyset sdmvpsu [pw=wtmec12yr], strata(sdmvstra)
ta BP_cat MJ_cat if include==1 & gndr==0,col
svy, subpop(if include==1 & gndr==0): ta BP_cat MJ_cat,col percent pweight: wtmec12yr
VCE: linearized
Single unit: missing
Strata 1: sdmvstra
SU 1: sdmvpsu
FPC 1: <zero>
+-------------------+
| Key |
|-------------------|
| frequency |
| column percentage |
+-------------------+
| Cannabis Use Category
BP Category | Never Use Past Use Current U | Total
------------+---------------------------------+----------
Normal | 3,379 2,454 741 | 6,574
| 60.64 61.97 64.60 | 61.56
------------+---------------------------------+----------
Elevated | 725 502 145 | 1,372
| 13.01 12.68 12.64 | 12.85
------------+---------------------------------+----------
Stage 1 HTN | 929 632 165 | 1,726
| 16.67 15.96 14.39 | 16.16
------------+---------------------------------+----------
Stage 2 HTN | 539 372 96 | 1,007
| 9.67 9.39 8.37 | 9.43
------------+---------------------------------+----------
Total | 5,572 3,960 1,147 | 10,679
| 100.00 100.00 100.00 | 100.00
(running tabulate on estimation sample)
Number of strata = 105 Number of obs = 70,190
Number of PSUs = 214 Population size = 306,545,053
Subpop. no. obs = 10,679
Subpop. size = 70,330,509.5
Design df = 109
--------------------------------------------------
BP | Cannabis Use Category
Category | Never Us Past Use Current Total
----------+---------------------------------------
Normal | 59.89 62.82 66.03 61.85
Elevated | 13.66 12.85 12.12 13.13
Stage 1 | 17.79 15.91 14.93 16.65
Stage 2 | 8.654 8.417 6.927 8.361
|
Total | 100 100 100 100
--------------------------------------------------
Key: column percentage
Pearson:
Uncorrected chi2(6) = 131.1846
Design-based F(5.63, 613.53) = 2.1713 P = 0.0481use "data\NHANES0518_new.dta", clear
svyset sdmvpsu [pw=wtmec12yr], strata(sdmvstra)
ta BP_cat MJ2 if include==1,col
svy, subpop(if include==1): ta BP_cat MJ2,col percent pweight: wtmec12yr
VCE: linearized
Single unit: missing
Strata 1: sdmvstra
SU 1: sdmvpsu
FPC 1: <zero>
+-------------------+
| Key |
|-------------------|
| frequency |
| column percentage |
+-------------------+
| Cannabis Use Collapsed
BP Category | Never/Pas Light-Mod Frequent | Total
------------+---------------------------------+----------
Normal | 9,342 1,067 472 | 10,881
| 51.88 50.88 51.53 | 51.76
------------+---------------------------------+----------
Elevated | 2,789 369 186 | 3,344
| 15.49 17.60 20.31 | 15.91
------------+---------------------------------+----------
Stage 1 HTN | 3,698 414 163 | 4,275
| 20.54 19.74 17.79 | 20.34
------------+---------------------------------+----------
Stage 2 HTN | 2,178 247 95 | 2,520
| 12.10 11.78 10.37 | 11.99
------------+---------------------------------+----------
Total | 18,007 2,097 916 | 21,020
| 100.00 100.00 100.00 | 100.00
(running tabulate on estimation sample)
Number of strata = 105 Number of obs = 70,190
Number of PSUs = 214 Population size = 306,545,053
Subpop. no. obs = 21,020
Subpop. size = 141,524,461
Design df = 109
--------------------------------------------------
BP | Cannabis Use Collapsed
Category | Never/Pa Light-Mo Frequent Total
----------+---------------------------------------
Normal | 52.04 51.82 50.38 51.94
Elevated | 15.85 17.81 20.99 16.27
Stage 1 | 21.01 20.1 18.74 20.82
Stage 2 | 11.1 10.27 9.887 10.97
|
Total | 100 100 100 100
--------------------------------------------------
Key: column percentage
Pearson:
Uncorrected chi2(6) = 78.0180
Design-based F(5.64, 614.81) = 2.3247 P = 0.0348use "data\NHANES0518_new.dta", clear
svyset sdmvpsu [pw=wtmec12yr], strata(sdmvstra)
ta BP_cat MJ2 if include==1 & gndr==1,col
svy, subpop(if include==1 & gndr==1): ta BP_cat MJ2,col percent pweight: wtmec12yr
VCE: linearized
Single unit: missing
Strata 1: sdmvstra
SU 1: sdmvpsu
FPC 1: <zero>
+-------------------+
| Key |
|-------------------|
| frequency |
| column percentage |
+-------------------+
| Cannabis Use Collapsed
BP Category | Never/Pas Light-Mod Frequent | Total
------------+---------------------------------+----------
Normal | 3,509 535 263 | 4,307
| 41.40 42.09 44.20 | 41.65
------------+---------------------------------+----------
Elevated | 1,562 264 146 | 1,972
| 18.43 20.77 24.54 | 19.07
------------+---------------------------------+----------
Stage 1 HTN | 2,137 294 118 | 2,549
| 25.22 23.13 19.83 | 24.65
------------+---------------------------------+----------
Stage 2 HTN | 1,267 178 68 | 1,513
| 14.95 14.00 11.43 | 14.63
------------+---------------------------------+----------
Total | 8,475 1,271 595 | 10,341
| 100.00 100.00 100.00 | 100.00
(running tabulate on estimation sample)
Number of strata = 105 Number of obs = 70,190
Number of PSUs = 214 Population size = 306,545,053
Subpop. no. obs = 10,341
Subpop. size = 71,193,951.1
Design df = 109
--------------------------------------------------
BP | Cannabis Use Collapsed
Category | Never/Pa Light-Mo Frequent Total
----------+---------------------------------------
Normal | 42.07 42.17 43.21 42.15
Elevated | 18.62 21.81 24.93 19.37
Stage 1 | 25.46 23.45 20.71 24.94
Stage 2 | 13.85 12.57 11.15 13.54
|
Total | 100 100 100 100
--------------------------------------------------
Key: column percentage
Pearson:
Uncorrected chi2(6) = 180.2785
Design-based F(5.49, 598.30) = 2.4796 P = 0.0263use "data\NHANES0518_new.dta", clear
svyset sdmvpsu [pw=wtmec12yr], strata(sdmvstra)
ta BP_cat MJ2 if include==1 & gndr==0,col
svy, subpop(if include==1 & gndr==0): ta BP_cat MJ2,col percent pweight: wtmec12yr
VCE: linearized
Single unit: missing
Strata 1: sdmvstra
SU 1: sdmvpsu
FPC 1: <zero>
+-------------------+
| Key |
|-------------------|
| frequency |
| column percentage |
+-------------------+
| Cannabis Use Collapsed
BP Category | Never/Pas Light-Mod Frequent | Total
------------+---------------------------------+----------
Normal | 5,833 532 209 | 6,574
| 61.19 64.41 65.11 | 61.56
------------+---------------------------------+----------
Elevated | 1,227 105 40 | 1,372
| 12.87 12.71 12.46 | 12.85
------------+---------------------------------+----------
Stage 1 HTN | 1,561 120 45 | 1,726
| 16.38 14.53 14.02 | 16.16
------------+---------------------------------+----------
Stage 2 HTN | 911 69 27 | 1,007
| 9.56 8.35 8.41 | 9.43
------------+---------------------------------+----------
Total | 9,532 826 321 | 10,679
| 100.00 100.00 100.00 | 100.00
(running tabulate on estimation sample)
Number of strata = 105 Number of obs = 70,190
Number of PSUs = 214 Population size = 306,545,053
Subpop. no. obs = 10,679
Subpop. size = 70,330,509.5
Design df = 109
--------------------------------------------------
BP | Cannabis Use Collapsed
Category | Never/Pa Light-Mo Frequent Total
----------+---------------------------------------
Normal | 61.34 66.66 64.39 61.85
Elevated | 13.26 11.67 13.28 13.13
Stage 1 | 16.86 14.94 14.9 16.65
Stage 2 | 8.537 6.735 7.424 8.361
|
Total | 100 100 100 100
--------------------------------------------------
Key: column percentage
Pearson:
Uncorrected chi2(6) = 72.8007
Design-based F(5.53, 602.54) = 1.1777 P = 0.3176use "data\NHANES0518_new.dta", clear
svyset sdmvpsu [pw=wtmec12yr], strata(sdmvstra)
ta gndr MJ2 if include==1,col
svy, subpop(if include==1): ta gndr MJ2,col percent pweight: wtmec12yr
VCE: linearized
Single unit: missing
Strata 1: sdmvstra
SU 1: sdmvpsu
FPC 1: <zero>
+-------------------+
| Key |
|-------------------|
| frequency |
| column percentage |
+-------------------+
| Cannabis Use Collapsed
Gender | Never/Pas Light-Mod Frequent | Total
-----------+---------------------------------+----------
Female | 9,532 826 321 | 10,679
| 52.93 39.39 35.04 | 50.80
-----------+---------------------------------+----------
Male | 8,475 1,271 595 | 10,341
| 47.07 60.61 64.96 | 49.20
-----------+---------------------------------+----------
Total | 18,007 2,097 916 | 21,020
| 100.00 100.00 100.00 | 100.00
(running tabulate on estimation sample)
Number of strata = 105 Number of obs = 70,190
Number of PSUs = 214 Population size = 306,545,053
Subpop. no. obs = 21,020
Subpop. size = 141,524,461
Design df = 109
--------------------------------------------------
| Cannabis Use Collapsed
Gender | Never/Pa Light-Mo Frequent Total
----------+---------------------------------------
Female | 51.72 39.41 33.86 49.69
Male | 48.28 60.59 66.14 50.31
|
Total | 100 100 100 100
--------------------------------------------------
Key: column percentage
Pearson:
Uncorrected chi2(2) = 708.2258
Design-based F(1.87, 204.04) = 80.5623 P = 0.0000use "data\NHANES0518_new.dta", clear
svyset sdmvpsu [pw=wtmec12yr], strata(sdmvstra)
xi: svy,subpop(if include==1): logit BP_abn i.MJ2, or pweight: wtmec12yr
VCE: linearized
Single unit: missing
Strata 1: sdmvstra
SU 1: sdmvpsu
FPC 1: <zero>
i.MJ2 _IMJ2_0-2 (naturally coded; _IMJ2_0 omitted)
(running logit on estimation sample)
Survey: Logistic regression
Number of strata = 105 Number of obs = 70,190
Number of PSUs = 214 Population size = 306,545,053
Subpop. no. obs = 21,020
Subpop. size = 141,524,461
Design df = 109
F( 2, 108) = 0.31
Prob > F = 0.7360
------------------------------------------------------------------------------
| Linearized
BP_abn | Odds Ratio Std. Err. t P>|t| [95% Conf. Interval]
-------------+----------------------------------------------------------------
_IMJ2_1 | 1.008883 .0533953 0.17 0.868 .9084166 1.120461
_IMJ2_2 | 1.068427 .0898673 0.79 0.433 .9043671 1.262248
_cons | .9216882 .024326 -3.09 0.003 .8747143 .9711848
------------------------------------------------------------------------------
Note: _cons estimates baseline odds.use "data\NHANES0518_new.dta", clear
svyset sdmvpsu [pw=wtmec12yr], strata(sdmvstra)
xi: svy,subpop(if include==1 & gndr==1): logit BP_abn i.MJ2, or pweight: wtmec12yr
VCE: linearized
Single unit: missing
Strata 1: sdmvstra
SU 1: sdmvpsu
FPC 1: <zero>
i.MJ2 _IMJ2_0-2 (naturally coded; _IMJ2_0 omitted)
(running logit on estimation sample)
Survey: Logistic regression
Number of strata = 105 Number of obs = 70,190
Number of PSUs = 214 Population size = 306,545,053
Subpop. no. obs = 10,341
Subpop. size = 71,193,951.1
Design df = 109
F( 2, 108) = 0.09
Prob > F = 0.9181
------------------------------------------------------------------------------
| Linearized
BP_abn | Odds Ratio Std. Err. t P>|t| [95% Conf. Interval]
-------------+----------------------------------------------------------------
_IMJ2_1 | .996259 .075491 -0.05 0.961 .8573316 1.157699
_IMJ2_2 | .9545312 .1077371 -0.41 0.681 .7631979 1.193832
_cons | 1.376755 .0486795 9.04 0.000 1.283577 1.476697
------------------------------------------------------------------------------
Note: _cons estimates baseline odds.use "data\NHANES0518_new.dta", clear
svyset sdmvpsu [pw=wtmec12yr], strata(sdmvstra)
xi: svy,subpop(if include==1 & gndr==0): logit BP_abn i.MJ2, or pweight: wtmec12yr
VCE: linearized
Single unit: missing
Strata 1: sdmvstra
SU 1: sdmvpsu
FPC 1: <zero>
i.MJ2 _IMJ2_0-2 (naturally coded; _IMJ2_0 omitted)
(running logit on estimation sample)
Survey: Logistic regression
Number of strata = 105 Number of obs = 70,190
Number of PSUs = 214 Population size = 306,545,053
Subpop. no. obs = 10,679
Subpop. size = 70,330,509.5
Design df = 109
F( 2, 108) = 4.13
Prob > F = 0.0187
------------------------------------------------------------------------------
| Linearized
BP_abn | Odds Ratio Std. Err. t P>|t| [95% Conf. Interval]
-------------+----------------------------------------------------------------
_IMJ2_1 | .7936889 .0653237 -2.81 0.006 .6742277 .9343166
_IMJ2_2 | .8773115 .146366 -0.78 0.434 .6303034 1.221119
_cons | .630271 .0197932 -14.70 0.000 .5922374 .6707472
------------------------------------------------------------------------------
Note: _cons estimates baseline odds.use "data\NHANES0518_new.dta", clear
svyset sdmvpsu [pw=wtmec12yr], strata(sdmvstra)
xi: svy,subpop(if include==1): logit BP_abn i.MJ2 gndr ridageyr, or pweight: wtmec12yr
VCE: linearized
Single unit: missing
Strata 1: sdmvstra
SU 1: sdmvpsu
FPC 1: <zero>
i.MJ2 _IMJ2_0-2 (naturally coded; _IMJ2_0 omitted)
(running logit on estimation sample)
Survey: Logistic regression
Number of strata = 105 Number of obs = 70,190
Number of PSUs = 214 Population size = 306,545,053
Subpop. no. obs = 21,020
Subpop. size = 141,524,461
Design df = 109
F( 4, 106) = 316.01
Prob > F = 0.0000
------------------------------------------------------------------------------
| Linearized
BP_abn | Odds Ratio Std. Err. t P>|t| [95% Conf. Interval]
-------------+----------------------------------------------------------------
_IMJ2_1 | 1.154821 .0673943 2.47 0.015 1.028683 1.296426
_IMJ2_2 | 1.154975 .110962 1.50 0.137 .9547223 1.397231
gndr | 2.368786 .0882831 23.14 0.000 2.200118 2.550384
ridageyr | 1.047687 .0020572 23.73 0.000 1.043618 1.051772
_cons | .0922189 .0074624 -29.46 0.000 .0785538 .1082612
------------------------------------------------------------------------------
Note: _cons estimates baseline odds.use "data\NHANES0518_new.dta", clear
svyset sdmvpsu [pw=wtmec12yr], strata(sdmvstra)
xi: svy,subpop(if include==1 & gndr==1): logit BP_abn i.MJ2 ridageyr, or pweight: wtmec12yr
VCE: linearized
Single unit: missing
Strata 1: sdmvstra
SU 1: sdmvpsu
FPC 1: <zero>
i.MJ2 _IMJ2_0-2 (naturally coded; _IMJ2_0 omitted)
(running logit on estimation sample)
Survey: Logistic regression
Number of strata = 105 Number of obs = 70,190
Number of PSUs = 214 Population size = 306,545,053
Subpop. no. obs = 10,341
Subpop. size = 71,193,951.1
Design df = 109
F( 3, 107) = 43.27
Prob > F = 0.0000
------------------------------------------------------------------------------
| Linearized
BP_abn | Odds Ratio Std. Err. t P>|t| [95% Conf. Interval]
-------------+----------------------------------------------------------------
_IMJ2_1 | 1.138015 .0880995 1.67 0.098 .9761408 1.326733
_IMJ2_2 | 1.092278 .1285448 0.75 0.455 .8650377 1.379214
ridageyr | 1.02792 .0025521 11.09 0.000 1.022874 1.03299
_cons | .4581415 .0501147 -7.14 0.000 .3688452 .5690563
------------------------------------------------------------------------------
Note: _cons estimates baseline odds.use "data\NHANES0518_new.dta", clear
svyset sdmvpsu [pw=wtmec12yr], strata(sdmvstra)
xi: svy,subpop(if include==1 & gndr==0): logit BP_abn i.MJ2 ridageyr, or pweight: wtmec12yr
VCE: linearized
Single unit: missing
Strata 1: sdmvstra
SU 1: sdmvpsu
FPC 1: <zero>
i.MJ2 _IMJ2_0-2 (naturally coded; _IMJ2_0 omitted)
(running logit on estimation sample)
Survey: Logistic regression
Number of strata = 105 Number of obs = 70,190
Number of PSUs = 214 Population size = 306,545,053
Subpop. no. obs = 10,679
Subpop. size = 70,330,509.5
Design df = 109
F( 3, 107) = 210.39
Prob > F = 0.0000
------------------------------------------------------------------------------
| Linearized
BP_abn | Odds Ratio Std. Err. t P>|t| [95% Conf. Interval]
-------------+----------------------------------------------------------------
_IMJ2_1 | 1.140678 .0985242 1.52 0.130 .9612064 1.35366
_IMJ2_2 | 1.186826 .2077724 0.98 0.330 .8388764 1.679098
ridageyr | 1.071178 .0029664 24.83 0.000 1.065315 1.077074
_cons | .0367337 .0044348 -27.37 0.000 .0289165 .0466641
------------------------------------------------------------------------------
Note: _cons estimates baseline odds.use "data\NHANES0518_new.dta", clear
svyset sdmvpsu [pw=wtmec12yr], strata(sdmvstra)
xi: svy,subpop(if include==1): logit BP_abn i.MJ2 gndr ridageyr i.AL_cat bmxbmi, or pweight: wtmec12yr
VCE: linearized
Single unit: missing
Strata 1: sdmvstra
SU 1: sdmvpsu
FPC 1: <zero>
i.MJ2 _IMJ2_0-2 (naturally coded; _IMJ2_0 omitted)
i.AL_cat _IAL_cat_0-2 (naturally coded; _IAL_cat_0 omitted)
(running logit on estimation sample)
Survey: Logistic regression
Number of strata = 105 Number of obs = 68,614
Number of PSUs = 214 Population size = 296,797,030
Subpop. no. obs = 19,444
Subpop. size = 131,776,438
Design df = 109
F( 7, 103) = 225.00
Prob > F = 0.0000
------------------------------------------------------------------------------
| Linearized
BP_abn | Odds Ratio Std. Err. t P>|t| [95% Conf. Interval]
-------------+----------------------------------------------------------------
_IMJ2_1 | 1.202959 .0733552 3.03 0.003 1.066013 1.357497
_IMJ2_2 | 1.200407 .1243141 1.76 0.081 .9776615 1.473902
gndr | 2.605168 .1086162 22.97 0.000 2.398549 2.829587
ridageyr | 1.047848 .0022484 21.78 0.000 1.043401 1.052314
_IAL_cat_1 | 1.138895 .0584702 2.53 0.013 1.02871 1.260883
_IAL_cat_2 | 1.36091 .0891629 4.70 0.000 1.195185 1.549615
bmxbmi | 1.077406 .0037993 21.14 0.000 1.069902 1.084963
_cons | .0091305 .0012481 -34.36 0.000 .0069636 .0119717
------------------------------------------------------------------------------
Note: _cons estimates baseline odds.use "data\NHANES0518_new.dta", clear
svyset sdmvpsu [pw=wtmec12yr], strata(sdmvstra)
xi: svy,subpop(if include==1 & gndr==1): logit BP_abn i.MJ2 ridageyr i.AL_cat bmxbmi, or pweight: wtmec12yr
VCE: linearized
Single unit: missing
Strata 1: sdmvstra
SU 1: sdmvpsu
FPC 1: <zero>
i.MJ2 _IMJ2_0-2 (naturally coded; _IMJ2_0 omitted)
i.AL_cat _IAL_cat_0-2 (naturally coded; _IAL_cat_0 omitted)
(running logit on estimation sample)
Survey: Logistic regression
Number of strata = 105 Number of obs = 69,306
Number of PSUs = 214 Population size = 300,967,803
Subpop. no. obs = 9,457
Subpop. size = 65,616,701
Design df = 109
F( 6, 104) = 64.55
Prob > F = 0.0000
------------------------------------------------------------------------------
| Linearized
BP_abn | Odds Ratio Std. Err. t P>|t| [95% Conf. Interval]
-------------+----------------------------------------------------------------
_IMJ2_1 | 1.250669 .102945 2.72 0.008 1.062409 1.472289
_IMJ2_2 | 1.218662 .1688295 1.43 0.156 .9260544 1.603724
ridageyr | 1.027107 .002808 9.78 0.000 1.021557 1.032688
_IAL_cat_1 | 1.212714 .0768931 3.04 0.003 1.069501 1.375103
_IAL_cat_2 | 1.405375 .1175936 4.07 0.000 1.190608 1.658881
bmxbmi | 1.087982 .0057816 15.87 0.000 1.076583 1.099501
_cons | .0377906 .0071692 -17.27 0.000 .0259473 .0550397
------------------------------------------------------------------------------
Note: _cons estimates baseline odds.use "data\NHANES0518_new.dta", clear
svyset sdmvpsu [pw=wtmec12yr], strata(sdmvstra)
xi: svy,subpop(if include==1 & gndr==0): logit BP_abn i.MJ2 ridageyr i.AL_cat bmxbmi, or pweight: wtmec12yr
VCE: linearized
Single unit: missing
Strata 1: sdmvstra
SU 1: sdmvpsu
FPC 1: <zero>
i.MJ2 _IMJ2_0-2 (naturally coded; _IMJ2_0 omitted)
i.AL_cat _IAL_cat_0-2 (naturally coded; _IAL_cat_0 omitted)
(running logit on estimation sample)
Survey: Logistic regression
Number of strata = 105 Number of obs = 69,498
Number of PSUs = 214 Population size = 302,374,280
Subpop. no. obs = 9,987
Subpop. size = 66,159,736.7
Design df = 109
F( 6, 104) = 114.68
Prob > F = 0.0000
------------------------------------------------------------------------------
| Linearized
BP_abn | Odds Ratio Std. Err. t P>|t| [95% Conf. Interval]
-------------+----------------------------------------------------------------
_IMJ2_1 | 1.126048 .1130626 1.18 0.240 .9228504 1.373987
_IMJ2_2 | 1.083061 .1872574 0.46 0.645 .7688314 1.52572
ridageyr | 1.072018 .003441 21.67 0.000 1.065219 1.078859
_IAL_cat_1 | 1.075934 .0780864 1.01 0.315 .9317854 1.242383
_IAL_cat_2 | 1.282675 .1337174 2.39 0.019 1.043239 1.577066
bmxbmi | 1.075201 .0042838 18.20 0.000 1.066744 1.083724
_cons | .0039128 .0007979 -27.18 0.000 .0026119 .0058617
------------------------------------------------------------------------------
Note: _cons estimates baseline odds.Adjusted OR of abnormal blood pressure according to cannabis use: Effect of Adjustment for possible Mediators
Model 2
use "data\NHANES0518_new.dta", clear
svyset sdmvpsu [pw=wtmec12yr], strata(sdmvstra)
xi: svy,subpop(if include==1): logit BP_abn i.MJ2 gndr ridageyr, or pweight: wtmec12yr
VCE: linearized
Single unit: missing
Strata 1: sdmvstra
SU 1: sdmvpsu
FPC 1: <zero>
i.MJ2 _IMJ2_0-2 (naturally coded; _IMJ2_0 omitted)
(running logit on estimation sample)
Survey: Logistic regression
Number of strata = 105 Number of obs = 70,190
Number of PSUs = 214 Population size = 306,545,053
Subpop. no. obs = 21,020
Subpop. size = 141,524,461
Design df = 109
F( 4, 106) = 316.01
Prob > F = 0.0000
------------------------------------------------------------------------------
| Linearized
BP_abn | Odds Ratio Std. Err. t P>|t| [95% Conf. Interval]
-------------+----------------------------------------------------------------
_IMJ2_1 | 1.154821 .0673943 2.47 0.015 1.028683 1.296426
_IMJ2_2 | 1.154975 .110962 1.50 0.137 .9547223 1.397231
gndr | 2.368786 .0882831 23.14 0.000 2.200118 2.550384
ridageyr | 1.047687 .0020572 23.73 0.000 1.043618 1.051772
_cons | .0922189 .0074624 -29.46 0.000 .0785538 .1082612
------------------------------------------------------------------------------
Note: _cons estimates baseline odds.use "data\NHANES0518_new.dta", clear
svyset sdmvpsu [pw=wtmec12yr], strata(sdmvstra)
xi: svy,subpop(if include==1): logit BP_abn i.MJ2 gndr ridageyr bmxbmi, or pweight: wtmec12yr
VCE: linearized
Single unit: missing
Strata 1: sdmvstra
SU 1: sdmvpsu
FPC 1: <zero>
i.MJ2 _IMJ2_0-2 (naturally coded; _IMJ2_0 omitted)
(running logit on estimation sample)
Survey: Logistic regression
Number of strata = 105 Number of obs = 70,080
Number of PSUs = 214 Population size = 305,959,182
Subpop. no. obs = 20,910
Subpop. size = 140,938,589
Design df = 109
F( 5, 105) = 297.74
Prob > F = 0.0000
------------------------------------------------------------------------------
| Linearized
BP_abn | Odds Ratio Std. Err. t P>|t| [95% Conf. Interval]
-------------+----------------------------------------------------------------
_IMJ2_1 | 1.286639 .078038 4.16 0.000 1.140905 1.450988
_IMJ2_2 | 1.284134 .1277675 2.51 0.013 1.054308 1.564059
gndr | 2.515776 .0967975 23.98 0.000 2.331059 2.71513
ridageyr | 1.04516 .0021152 21.83 0.000 1.040976 1.04936
bmxbmi | 1.077584 .003698 21.77 0.000 1.07028 1.084938
_cons | .0110468 .0015006 -33.17 0.000 .0084394 .0144596
------------------------------------------------------------------------------
Note: _cons estimates baseline odds.use "data\NHANES0518_new.dta", clear
svyset sdmvpsu [pw=wtmec12yr], strata(sdmvstra)
xi: svy,subpop(if include==1): logit BP_abn i.MJ2 gndr ridageyr hei2015, or pweight: wtmec12yr
VCE: linearized
Single unit: missing
Strata 1: sdmvstra
SU 1: sdmvpsu
FPC 1: <zero>
i.MJ2 _IMJ2_0-2 (naturally coded; _IMJ2_0 omitted)
(running logit on estimation sample)
Survey: Logistic regression
Number of strata = 105 Number of obs = 68,641
Number of PSUs = 214 Population size = 297,338,173
Subpop. no. obs = 19,471
Subpop. size = 132,317,580
Design df = 109
F( 5, 105) = 229.38
Prob > F = 0.0000
------------------------------------------------------------------------------
| Linearized
BP_abn | Odds Ratio Std. Err. t P>|t| [95% Conf. Interval]
-------------+----------------------------------------------------------------
_IMJ2_1 | 1.186144 .07235 2.80 0.006 1.051077 1.338567
_IMJ2_2 | 1.157676 .1254377 1.35 0.179 .933945 1.435003
gndr | 2.272486 .0847978 22.00 0.000 2.110484 2.446924
ridageyr | 1.050607 .0022368 23.19 0.000 1.046183 1.055049
hei2015 | .989016 .0014472 -7.55 0.000 .9861519 .9918884
_cons | .1484859 .01377 -20.57 0.000 .1235555 .1784466
------------------------------------------------------------------------------
Note: _cons estimates baseline odds.use "data\NHANES0518_new.dta", clear
svyset sdmvpsu [pw=wtmec12yr], strata(sdmvstra)
xi: svy,subpop(if include==1): logit BP_abn i.MJ2 gndr ridageyr AL_cat, or pweight: wtmec12yr
VCE: linearized
Single unit: missing
Strata 1: sdmvstra
SU 1: sdmvpsu
FPC 1: <zero>
i.MJ2 _IMJ2_0-2 (naturally coded; _IMJ2_0 omitted)
(running logit on estimation sample)
Survey: Logistic regression
Number of strata = 105 Number of obs = 68,710
Number of PSUs = 214 Population size = 297,316,373
Subpop. no. obs = 19,540
Subpop. size = 132,295,780
Design df = 109
F( 5, 105) = 241.11
Prob > F = 0.0000
------------------------------------------------------------------------------
| Linearized
BP_abn | Odds Ratio Std. Err. t P>|t| [95% Conf. Interval]
-------------+----------------------------------------------------------------
_IMJ2_1 | 1.07985 .0632877 1.31 0.193 .9614271 1.21286
_IMJ2_2 | 1.077968 .1064205 0.76 0.449 .8863986 1.310939
gndr | 2.461356 .0998585 22.20 0.000 2.271187 2.667447
ridageyr | 1.050699 .0022082 23.53 0.000 1.046332 1.055085
AL_cat | 1.178286 .0386243 5.00 0.000 1.104167 1.257379
_cons | .0735804 .0066442 -28.90 0.000 .061523 .0880009
------------------------------------------------------------------------------
Note: _cons estimates baseline odds.use "data\NHANES0518_new.dta", clear
svyset sdmvpsu [pw=wtmec12yr], strata(sdmvstra)
xi: svy,subpop(if include==1): logit BP_abn i.MJ2 gndr ridageyr SMK_cat, or pweight: wtmec12yr
VCE: linearized
Single unit: missing
Strata 1: sdmvstra
SU 1: sdmvpsu
FPC 1: <zero>
i.MJ2 _IMJ2_0-2 (naturally coded; _IMJ2_0 omitted)
(running logit on estimation sample)
Survey: Logistic regression
Number of strata = 105 Number of obs = 70,139
Number of PSUs = 214 Population size = 306,306,164
Subpop. no. obs = 20,969
Subpop. size = 141,285,572
Design df = 109
F( 5, 105) = 254.28
Prob > F = 0.0000
------------------------------------------------------------------------------
| Linearized
BP_abn | Odds Ratio Std. Err. t P>|t| [95% Conf. Interval]
-------------+----------------------------------------------------------------
_IMJ2_1 | 1.127442 .0664951 2.03 0.044 1.003062 1.267245
_IMJ2_2 | 1.110426 .1061853 1.10 0.276 .9187111 1.342147
gndr | 2.361468 .0887486 22.86 0.000 2.191963 2.544082
ridageyr | 1.047309 .0020738 23.34 0.000 1.043206 1.051427
SMK_cat | 1.03314 .0195549 1.72 0.088 .9951009 1.072634
_cons | .0916514 .007393 -29.63 0.000 .07811 .1075404
------------------------------------------------------------------------------
Note: _cons estimates baseline odds.Model 2
use "data\NHANES0518_new.dta", clear
svyset sdmvpsu [pw=wtmec12yr], strata(sdmvstra)
xi: svy,subpop(if include==1 & gndr==1): logit BP_abn i.MJ2 gndr ridageyr, or pweight: wtmec12yr
VCE: linearized
Single unit: missing
Strata 1: sdmvstra
SU 1: sdmvpsu
FPC 1: <zero>
i.MJ2 _IMJ2_0-2 (naturally coded; _IMJ2_0 omitted)
(running logit on estimation sample)
note: gndr omitted because of collinearity
Survey: Logistic regression
Number of strata = 105 Number of obs = 70,190
Number of PSUs = 214 Population size = 306,545,053
Subpop. no. obs = 10,341
Subpop. size = 71,193,951.1
Design df = 109
F( 3, 107) = 43.27
Prob > F = 0.0000
------------------------------------------------------------------------------
| Linearized
BP_abn | Odds Ratio Std. Err. t P>|t| [95% Conf. Interval]
-------------+----------------------------------------------------------------
_IMJ2_1 | 1.138015 .0880995 1.67 0.098 .9761408 1.326733
_IMJ2_2 | 1.092278 .1285448 0.75 0.455 .8650377 1.379214
gndr | 1 (omitted)
ridageyr | 1.02792 .0025521 11.09 0.000 1.022874 1.03299
_cons | .4581415 .0501147 -7.14 0.000 .3688452 .5690563
------------------------------------------------------------------------------
Note: _cons estimates baseline odds.use "data\NHANES0518_new.dta", clear
svyset sdmvpsu [pw=wtmec12yr], strata(sdmvstra)
xi: svy,subpop(if include==1 & gndr==1): logit BP_abn i.MJ2 gndr ridageyr bmxbmi, or pweight: wtmec12yr
VCE: linearized
Single unit: missing
Strata 1: sdmvstra
SU 1: sdmvpsu
FPC 1: <zero>
i.MJ2 _IMJ2_0-2 (naturally coded; _IMJ2_0 omitted)
(running logit on estimation sample)
note: gndr omitted because of collinearity
Survey: Logistic regression
Number of strata = 105 Number of obs = 70,145
Number of PSUs = 214 Population size = 306,263,641
Subpop. no. obs = 10,296
Subpop. size = 70,912,538.8
Design df = 109
F( 4, 106) = 82.74
Prob > F = 0.0000
------------------------------------------------------------------------------
| Linearized
BP_abn | Odds Ratio Std. Err. t P>|t| [95% Conf. Interval]
-------------+----------------------------------------------------------------
_IMJ2_1 | 1.325917 .1061475 3.52 0.001 1.131377 1.553907
_IMJ2_2 | 1.277555 .1669605 1.87 0.064 .9860281 1.655274
gndr | 1 (omitted)
ridageyr | 1.023479 .0026718 8.89 0.000 1.018197 1.028788
bmxbmi | 1.088338 .0060264 15.29 0.000 1.07646 1.100348
_cons | .0471976 .0090845 -15.86 0.000 .0322288 .0691189
------------------------------------------------------------------------------
Note: _cons estimates baseline odds.use "data\NHANES0518_new.dta", clear
svyset sdmvpsu [pw=wtmec12yr], strata(sdmvstra)
xi: svy,subpop(if include==1 & gndr==1): logit BP_abn i.MJ2 gndr ridageyr hei2015, or pweight: wtmec12yr
VCE: linearized
Single unit: missing
Strata 1: sdmvstra
SU 1: sdmvpsu
FPC 1: <zero>
i.MJ2 _IMJ2_0-2 (naturally coded; _IMJ2_0 omitted)
(running logit on estimation sample)
note: gndr omitted because of collinearity
Survey: Logistic regression
Number of strata = 105 Number of obs = 69,287
Number of PSUs = 214 Population size = 301,034,783
Subpop. no. obs = 9,438
Subpop. size = 65,683,681.8
Design df = 109
F( 4, 106) = 30.58
Prob > F = 0.0000
------------------------------------------------------------------------------
| Linearized
BP_abn | Odds Ratio Std. Err. t P>|t| [95% Conf. Interval]
-------------+----------------------------------------------------------------
_IMJ2_1 | 1.163569 .0945698 1.86 0.065 .9904523 1.366944
_IMJ2_2 | 1.093711 .1408378 0.70 0.488 .8473492 1.411702
gndr | 1 (omitted)
ridageyr | 1.029383 .0027225 10.95 0.000 1.024001 1.034793
hei2015 | .9912399 .002232 -3.91 0.000 .986826 .9956736
_cons | .6674628 .093011 -2.90 0.004 .5063845 .8797791
------------------------------------------------------------------------------
Note: _cons estimates baseline odds.use "data\NHANES0518_new.dta", clear
svyset sdmvpsu [pw=wtmec12yr], strata(sdmvstra)
xi: svy,subpop(if include==1 & gndr==1): logit BP_abn i.MJ2 gndr ridageyr AL_cat, or pweight: wtmec12yr
VCE: linearized
Single unit: missing
Strata 1: sdmvstra
SU 1: sdmvpsu
FPC 1: <zero>
i.MJ2 _IMJ2_0-2 (naturally coded; _IMJ2_0 omitted)
(running logit on estimation sample)
note: gndr omitted because of collinearity
Survey: Logistic regression
Number of strata = 105 Number of obs = 69,343
Number of PSUs = 214 Population size = 301,203,657
Subpop. no. obs = 9,494
Subpop. size = 65,852,555.7
Design df = 109
F( 4, 106) = 40.17
Prob > F = 0.0000
------------------------------------------------------------------------------
| Linearized
BP_abn | Odds Ratio Std. Err. t P>|t| [95% Conf. Interval]
-------------+----------------------------------------------------------------
_IMJ2_1 | 1.071611 .0868686 0.85 0.395 .9125588 1.258384
_IMJ2_2 | 1.04393 .1315131 0.34 0.734 .8132688 1.340012
gndr | 1 (omitted)
ridageyr | 1.031874 .0026697 12.13 0.000 1.026596 1.037178
AL_cat | 1.218727 .0489625 4.92 0.000 1.125448 1.319737
_cons | .3537031 .0419791 -8.76 0.000 .2795634 .4475047
------------------------------------------------------------------------------
Note: _cons estimates baseline odds.use "data\NHANES0518_new.dta", clear
svyset sdmvpsu [pw=wtmec12yr], strata(sdmvstra)
xi: svy,subpop(if include==1 & gndr==1): logit BP_abn i.MJ2 gndr ridageyr SMK_cat, or pweight: wtmec12yr
VCE: linearized
Single unit: missing
Strata 1: sdmvstra
SU 1: sdmvpsu
FPC 1: <zero>
i.MJ2 _IMJ2_0-2 (naturally coded; _IMJ2_0 omitted)
(running logit on estimation sample)
note: gndr omitted because of collinearity
Survey: Logistic regression
Number of strata = 105 Number of obs = 70,160
Number of PSUs = 214 Population size = 306,422,650
Subpop. no. obs = 10,311
Subpop. size = 71,071,548.1
Design df = 109
F( 4, 106) = 32.53
Prob > F = 0.0000
------------------------------------------------------------------------------
| Linearized
BP_abn | Odds Ratio Std. Err. t P>|t| [95% Conf. Interval]
-------------+----------------------------------------------------------------
_IMJ2_1 | 1.129273 .0915413 1.50 0.137 .9616653 1.326092
_IMJ2_2 | 1.075755 .129635 0.61 0.546 .8472023 1.365966
gndr | 1 (omitted)
ridageyr | 1.027758 .0025881 10.87 0.000 1.022641 1.0329
SMK_cat | 1.011251 .0261313 0.43 0.666 .9607632 1.064391
_cons | .457494 .049951 -7.16 0.000 .3684721 .5680234
------------------------------------------------------------------------------
Note: _cons estimates baseline odds.Model 2
use "data\NHANES0518_new.dta", clear
svyset sdmvpsu [pw=wtmec12yr], strata(sdmvstra)
xi: svy,subpop(if include==1 & gndr==0): logit BP_abn i.MJ2 gndr ridageyr, or pweight: wtmec12yr
VCE: linearized
Single unit: missing
Strata 1: sdmvstra
SU 1: sdmvpsu
FPC 1: <zero>
i.MJ2 _IMJ2_0-2 (naturally coded; _IMJ2_0 omitted)
(running logit on estimation sample)
note: gndr omitted because of collinearity
Survey: Logistic regression
Number of strata = 105 Number of obs = 70,190
Number of PSUs = 214 Population size = 306,545,053
Subpop. no. obs = 10,679
Subpop. size = 70,330,509.5
Design df = 109
F( 3, 107) = 210.39
Prob > F = 0.0000
------------------------------------------------------------------------------
| Linearized
BP_abn | Odds Ratio Std. Err. t P>|t| [95% Conf. Interval]
-------------+----------------------------------------------------------------
_IMJ2_1 | 1.140678 .0985242 1.52 0.130 .9612064 1.35366
_IMJ2_2 | 1.186826 .2077724 0.98 0.330 .8388764 1.679098
gndr | 1 (omitted)
ridageyr | 1.071178 .0029664 24.83 0.000 1.065315 1.077074
_cons | .0367337 .0044348 -27.37 0.000 .0289165 .0466641
------------------------------------------------------------------------------
Note: _cons estimates baseline odds.use "data\NHANES0518_new.dta", clear
svyset sdmvpsu [pw=wtmec12yr], strata(sdmvstra)
xi: svy,subpop(if include==1 & gndr==0): logit BP_abn i.MJ2 gndr ridageyr bmxbmi, or pweight: wtmec12yr
VCE: linearized
Single unit: missing
Strata 1: sdmvstra
SU 1: sdmvpsu
FPC 1: <zero>
i.MJ2 _IMJ2_0-2 (naturally coded; _IMJ2_0 omitted)
(running logit on estimation sample)
note: gndr omitted because of collinearity
Survey: Logistic regression
Number of strata = 105 Number of obs = 70,125
Number of PSUs = 214 Population size = 306,240,594
Subpop. no. obs = 10,614
Subpop. size = 70,026,050.6
Design df = 109
F( 4, 106) = 185.85
Prob > F = 0.0000
------------------------------------------------------------------------------
| Linearized
BP_abn | Odds Ratio Std. Err. t P>|t| [95% Conf. Interval]
-------------+----------------------------------------------------------------
_IMJ2_1 | 1.215196 .1148793 2.06 0.042 1.007567 1.465611
_IMJ2_2 | 1.226002 .2101288 1.19 0.237 .8728968 1.721946
gndr | 1 (omitted)
ridageyr | 1.071233 .0032017 23.02 0.000 1.064906 1.077598
bmxbmi | 1.075628 .004072 19.26 0.000 1.067588 1.083729
_cons | .0042092 .0008249 -27.92 0.000 .0028544 .0062069
------------------------------------------------------------------------------
Note: _cons estimates baseline odds.use "data\NHANES0518_new.dta", clear
svyset sdmvpsu [pw=wtmec12yr], strata(sdmvstra)
xi: svy,subpop(if include==1 & gndr==0): logit BP_abn i.MJ2 gndr ridageyr hei2015, or pweight: wtmec12yr
VCE: linearized
Single unit: missing
Strata 1: sdmvstra
SU 1: sdmvpsu
FPC 1: <zero>
i.MJ2 _IMJ2_0-2 (naturally coded; _IMJ2_0 omitted)
(running logit on estimation sample)
note: gndr omitted because of collinearity
Survey: Logistic regression
Number of strata = 105 Number of obs = 69,544
Number of PSUs = 214 Population size = 302,848,442
Subpop. no. obs = 10,033
Subpop. size = 66,633,898.5
Design df = 109
F( 4, 106) = 150.71
Prob > F = 0.0000
------------------------------------------------------------------------------
| Linearized
BP_abn | Odds Ratio Std. Err. t P>|t| [95% Conf. Interval]
-------------+----------------------------------------------------------------
_IMJ2_1 | 1.175673 .1093945 1.74 0.085 .9776751 1.41377
_IMJ2_2 | 1.200887 .2273775 0.97 0.336 .8251354 1.747749
gndr | 1 (omitted)
ridageyr | 1.075446 .0031842 24.57 0.000 1.069153 1.081775
hei2015 | .9864173 .0018019 -7.49 0.000 .9828525 .9899951
_cons | .0646525 .0093425 -18.95 0.000 .0485516 .0860929
------------------------------------------------------------------------------
Note: _cons estimates baseline odds.use "data\NHANES0518_new.dta", clear
svyset sdmvpsu [pw=wtmec12yr], strata(sdmvstra)
xi: svy,subpop(if include==1 & gndr==0): logit BP_abn i.MJ2 gndr ridageyr AL_cat, or pweight: wtmec12yr
VCE: linearized
Single unit: missing
Strata 1: sdmvstra
SU 1: sdmvpsu
FPC 1: <zero>
i.MJ2 _IMJ2_0-2 (naturally coded; _IMJ2_0 omitted)
(running logit on estimation sample)
note: gndr omitted because of collinearity
Survey: Logistic regression
Number of strata = 105 Number of obs = 69,557
Number of PSUs = 214 Population size = 302,657,768
Subpop. no. obs = 10,046
Subpop. size = 66,443,224.6
Design df = 109
F( 4, 106) = 137.09
Prob > F = 0.0000
------------------------------------------------------------------------------
| Linearized
BP_abn | Odds Ratio Std. Err. t P>|t| [95% Conf. Interval]
-------------+----------------------------------------------------------------
_IMJ2_1 | 1.065488 .0981535 0.69 0.493 .8876771 1.278917
_IMJ2_2 | 1.044505 .1848386 0.25 0.806 .7355094 1.483312
gndr | 1 (omitted)
ridageyr | 1.072271 .0032528 23.00 0.000 1.065843 1.078737
AL_cat | 1.117404 .0551134 2.25 0.026 1.01334 1.232154
_cons | .0328599 .004608 -24.36 0.000 .0248862 .0433883
------------------------------------------------------------------------------
Note: _cons estimates baseline odds.use "data\NHANES0518_new.dta", clear
svyset sdmvpsu [pw=wtmec12yr], strata(sdmvstra)
xi: svy,subpop(if include==1 & gndr==0): logit BP_abn i.MJ2 gndr ridageyr SMK_cat, or pweight: wtmec12yr
VCE: linearized
Single unit: missing
Strata 1: sdmvstra
SU 1: sdmvpsu
FPC 1: <zero>
i.MJ2 _IMJ2_0-2 (naturally coded; _IMJ2_0 omitted)
(running logit on estimation sample)
note: gndr omitted because of collinearity
Survey: Logistic regression
Number of strata = 105 Number of obs = 70,169
Number of PSUs = 214 Population size = 306,428,567
Subpop. no. obs = 10,658
Subpop. size = 70,214,023.5
Design df = 109
F( 4, 106) = 158.67
Prob > F = 0.0000
------------------------------------------------------------------------------
| Linearized
BP_abn | Odds Ratio Std. Err. t P>|t| [95% Conf. Interval]
-------------+----------------------------------------------------------------
_IMJ2_1 | 1.086909 .0954157 0.95 0.345 .9133354 1.293468
_IMJ2_2 | 1.095308 .1909757 0.52 0.603 .7752755 1.547448
gndr | 1 (omitted)
ridageyr | 1.070537 .002987 24.43 0.000 1.064633 1.076473
SMK_cat | 1.06419 .0250602 2.64 0.009 1.015663 1.115036
_cons | .0361999 .0043938 -27.34 0.000 .0284598 .0460451
------------------------------------------------------------------------------
Note: _cons estimates baseline odds.