From model building.
use "data\NHANES0518_new.dta", clear
svyset sdmvpsu [pw=wtmec12yr], strata(sdmvstra)
xi: svy,subpop(if include==1): mlogit BP_cat i.MJ, rrr pweight: wtmec12yr
VCE: linearized
Single unit: missing
Strata 1: sdmvstra
SU 1: sdmvpsu
FPC 1: <zero>
i.MJ _IMJ_0-4 (naturally coded; _IMJ_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) = 1.61
Prob > F = 0.1024
------------------------------------------------------------------------------
| Linearized
BP_cat | RRR Std. Err. t P>|t| [95% Conf. Interval]
-------------+----------------------------------------------------------------
Normal | (base outcome)
-------------+----------------------------------------------------------------
Elevated |
_IMJ_1 | 1.049296 .0561239 0.90 0.370 .9437532 1.166642
_IMJ_2 | 1.07064 .0984963 0.74 0.460 .8921864 1.284787
_IMJ_3 | 1.558245 .2697868 2.56 0.012 1.105626 2.196155
_IMJ_4 | 1.403379 .1677697 2.83 0.005 1.107322 1.77859
_cons | .2968078 .011616 -31.04 0.000 .2746555 .3207467
-------------+----------------------------------------------------------------
Stage_1_HTN |
_IMJ_1 | 1.038452 .0565532 0.69 0.490 .9322029 1.156812
_IMJ_2 | .9975087 .0960327 -0.03 0.979 .8242317 1.207213
_IMJ_3 | .900348 .1611093 -0.59 0.559 .6315176 1.283617
_IMJ_4 | .939886 .1099831 -0.53 0.597 .7453349 1.18522
_cons | .3957803 .0181857 -20.17 0.000 .3613294 .4335159
-------------+----------------------------------------------------------------
Stage_2_HTN |
_IMJ_1 | 1.064169 .073415 0.90 0.369 .9281724 1.220092
_IMJ_2 | .9610533 .1065962 -0.36 0.721 .771393 1.197345
_IMJ_3 | .9577305 .2146646 -0.19 0.848 .6142061 1.493387
_IMJ_4 | .9507432 .1468888 -0.33 0.744 .6999662 1.291366
_cons | .2064008 .0112703 -28.90 0.000 .1852296 .2299918
------------------------------------------------------------------------------
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.MJ gndr ridageyr, rrr pweight: wtmec12yr
VCE: linearized
Single unit: missing
Strata 1: sdmvstra
SU 1: sdmvpsu
FPC 1: <zero>
i.MJ _IMJ_0-4 (naturally coded; _IMJ_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( 18, 92) = 93.07
Prob > F = 0.0000
------------------------------------------------------------------------------
| Linearized
BP_cat | RRR Std. Err. t P>|t| [95% Conf. Interval]
-------------+----------------------------------------------------------------
Normal | (base outcome)
-------------+----------------------------------------------------------------
Elevated |
_IMJ_1 | .9775043 .0535442 -0.42 0.679 .876939 1.089602
_IMJ_2 | 1.082977 .1013133 0.85 0.396 .8996934 1.303598
_IMJ_3 | 1.502605 .2723156 2.25 0.027 1.049182 2.151984
_IMJ_4 | 1.331792 .1735363 2.20 0.030 1.028673 1.724231
gndr | 2.221701 .1063717 16.67 0.000 2.020569 2.442853
ridageyr | 1.026885 .0027804 9.80 0.000 1.021389 1.032411
_cons | .074334 .0082483 -23.42 0.000 .0596588 .0926189
-------------+----------------------------------------------------------------
Stage_1_HTN |
_IMJ_1 | .9513117 .0533233 -0.89 0.375 .8512857 1.063091
_IMJ_2 | 1.096505 .1091905 0.93 0.357 .9001107 1.33575
_IMJ_3 | .9606764 .1770412 -0.22 0.828 .6667296 1.384218
_IMJ_4 | .9651068 .1151729 -0.30 0.767 .7618249 1.222631
gndr | 2.371028 .1158687 17.67 0.000 2.15215 2.612165
ridageyr | 1.048168 .0025127 19.62 0.000 1.0432 1.05316
_cons | .040761 .0043611 -29.91 0.000 .0329724 .0503895
-------------+----------------------------------------------------------------
Stage_2_HTN |
_IMJ_1 | .9466029 .0691592 -0.75 0.454 .8189937 1.094095
_IMJ_2 | 1.184153 .1338767 1.50 0.138 .9464403 1.481571
_IMJ_3 | 1.177991 .2716037 0.71 0.479 .7459011 1.860384
_IMJ_4 | 1.089044 .1880177 0.49 0.622 .7734638 1.533383
gndr | 2.679267 .181282 14.57 0.000 2.343021 3.063767
ridageyr | 1.085292 .002785 31.90 0.000 1.079786 1.090826
_cons | .0041861 .0005128 -44.70 0.000 .0032837 .0053364
------------------------------------------------------------------------------
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.MJ gndr ridageyr i.AL_cat bmxbmi hei2015 SMK_cat, rrr pweight: wtmec12yr
VCE: linearized
Single unit: missing
Strata 1: sdmvstra
SU 1: sdmvpsu
FPC 1: <zero>
i.MJ _IMJ_0-4 (naturally coded; _IMJ_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 = 66,571
Number of PSUs = 214 Population size = 284,502,347
Subpop. no. obs = 17,401
Subpop. size = 119,481,755
Design df = 109
F( 33, 77) = 67.02
Prob > F = 0.0000
------------------------------------------------------------------------------
| Linearized
BP_cat | RRR Std. Err. t P>|t| [95% Conf. Interval]
-------------+----------------------------------------------------------------
Normal | (base outcome)
-------------+----------------------------------------------------------------
Elevated |
_IMJ_1 | .8994145 .0528021 -1.81 0.074 .8006215 1.010398
_IMJ_2 | 1.045329 .1130524 0.41 0.683 .8436492 1.295221
_IMJ_3 | 1.473469 .3060052 1.87 0.065 .9762966 2.223824
_IMJ_4 | 1.22027 .1887768 1.29 0.201 .8980403 1.658119
gndr | 2.409292 .1363836 15.53 0.000 2.153596 2.695346
ridageyr | 1.028449 .0032319 8.93 0.000 1.022063 1.034874
_IAL_cat_1 | 1.069678 .0856147 0.84 0.402 .9127668 1.253563
_IAL_cat_2 | 1.252199 .1176576 2.39 0.018 1.039431 1.508519
bmxbmi | 1.061583 .0052237 12.14 0.000 1.05128 1.071986
hei2015 | .9983394 .0023017 -0.72 0.473 .9937879 1.002912
SMK_cat | 1.064639 .0322389 2.07 0.041 1.002622 1.130492
_cons | .0125239 .0027041 -20.29 0.000 .0081638 .0192127
-------------+----------------------------------------------------------------
Stage_1_HTN |
_IMJ_1 | .8986767 .0636075 -1.51 0.134 .7810518 1.034016
_IMJ_2 | 1.186498 .1300411 1.56 0.122 .9548326 1.474371
_IMJ_3 | 1.024563 .2126323 0.12 0.907 .6790498 1.545879
_IMJ_4 | 1.064499 .1648142 0.40 0.687 .7832055 1.44682
gndr | 2.564286 .1410949 17.11 0.000 2.299349 2.859749
ridageyr | 1.050281 .0032108 16.05 0.000 1.043937 1.056664
_IAL_cat_1 | 1.115051 .0824399 1.47 0.144 .9630655 1.291023
_IAL_cat_2 | 1.204248 .1049949 2.13 0.035 1.013139 1.431406
bmxbmi | 1.076159 .0046918 16.84 0.000 1.0669 1.085498
hei2015 | .9945533 .0021367 -2.54 0.012 .9903275 .9987971
SMK_cat | 1.022316 .0291191 0.77 0.440 .9662019 1.081689
_cons | .0052699 .0010959 -25.22 0.000 .0034898 .007958
-------------+----------------------------------------------------------------
Stage_2_HTN |
_IMJ_1 | .8820164 .0806483 -1.37 0.173 .735821 1.057258
_IMJ_2 | 1.21905 .1776198 1.36 0.177 .9132845 1.627184
_IMJ_3 | .9440326 .2545762 -0.21 0.831 .5531813 1.611041
_IMJ_4 | 1.044808 .2233101 0.21 0.838 .6840126 1.595912
gndr | 3.081131 .2382477 14.55 0.000 2.643336 3.591435
ridageyr | 1.090773 .0035634 26.60 0.000 1.083734 1.097859
_IAL_cat_1 | 1.335062 .1097845 3.51 0.001 1.134279 1.571387
_IAL_cat_2 | 1.666441 .1780087 4.78 0.000 1.348479 2.059377
bmxbmi | 1.101779 .0062009 17.22 0.000 1.089558 1.114138
hei2015 | .9923819 .0026301 -2.89 0.005 .9871828 .9976084
SMK_cat | 1.046439 .0379738 1.25 0.214 .9738192 1.124475
_cons | .0002159 .000063 -28.92 0.000 .000121 .000385
------------------------------------------------------------------------------
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.MJ, rrr pweight: wtmec12yr
VCE: linearized
Single unit: missing
Strata 1: sdmvstra
SU 1: sdmvpsu
FPC 1: <zero>
i.MJ _IMJ_0-4 (naturally coded; _IMJ_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( 12, 98) = 1.47
Prob > F = 0.1491
------------------------------------------------------------------------------
| Linearized
BP_cat | RRR Std. Err. t P>|t| [95% Conf. Interval]
-------------+----------------------------------------------------------------
Normal | (base outcome)
-------------+----------------------------------------------------------------
Elevated |
_IMJ_1 | 1.109859 .089886 1.29 0.201 .9452706 1.303105
_IMJ_2 | 1.182803 .1327996 1.50 0.138 .9468269 1.477591
_IMJ_3 | 1.457371 .3093195 1.77 0.079 .9569272 2.219533
_IMJ_4 | 1.383918 .2196616 2.05 0.043 1.010386 1.895543
_cons | .4168928 .0228766 -15.94 0.000 .3739307 .4647909
-------------+----------------------------------------------------------------
Stage_1_HTN |
_IMJ_1 | 1.116623 .0899385 1.37 0.174 .9518685 1.309895
_IMJ_2 | 1.016525 .1244252 0.13 0.894 .7975525 1.295618
_IMJ_3 | .8393784 .1818391 -0.81 0.421 .5463704 1.289521
_IMJ_4 | .8436662 .1414778 -1.01 0.313 .6050993 1.176291
_cons | .5680377 .0380708 -8.44 0.000 .4973795 .6487338
-------------+----------------------------------------------------------------
Stage_2_HTN |
_IMJ_1 | 1.084126 .0962073 0.91 0.365 .9092737 1.292602
_IMJ_2 | .9773222 .1430684 -0.16 0.876 .7311947 1.306299
_IMJ_3 | .8386504 .2162303 -0.68 0.496 .5030959 1.398013
_IMJ_4 | .8203393 .1609687 -1.01 0.315 .5560244 1.2103
_cons | .3144748 .0228819 -15.90 0.000 .2722419 .3632592
------------------------------------------------------------------------------
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.MJ, rrr pweight: wtmec12yr
VCE: linearized
Single unit: missing
Strata 1: sdmvstra
SU 1: sdmvpsu
FPC 1: <zero>
i.MJ _IMJ_0-4 (naturally coded; _IMJ_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( 12, 98) = 1.74
Prob > F = 0.0693
------------------------------------------------------------------------------
| Linearized
BP_cat | RRR Std. Err. t P>|t| [95% Conf. Interval]
-------------+----------------------------------------------------------------
Normal | (base outcome)
-------------+----------------------------------------------------------------
Elevated |
_IMJ_1 | .8973761 .0661503 -1.47 0.145 .7753959 1.038545
_IMJ_2 | .6995585 .1080518 -2.31 0.023 .515079 .9501107
_IMJ_3 | 1.155806 .3437167 0.49 0.627 .6410777 2.083816
_IMJ_4 | .904521 .2284574 -0.40 0.692 .5482956 1.492185
_cons | .2280199 .0109087 -30.90 0.000 .2073927 .2506987
-------------+----------------------------------------------------------------
Stage_1_HTN |
_IMJ_1 | .8525828 .0682291 -1.99 0.049 .727534 .999125
_IMJ_2 | .7739365 .1111255 -1.78 0.077 .5822556 1.02872
_IMJ_3 | .6433332 .2198738 -1.29 0.200 .3267777 1.266542
_IMJ_4 | .7788413 .169243 -1.15 0.253 .5062971 1.198098
_cons | .2971067 .0156086 -23.10 0.000 .267727 .3297104
-------------+----------------------------------------------------------------
Stage_2_HTN |
_IMJ_1 | .9273116 .0817424 -0.86 0.394 .7786639 1.104336
_IMJ_2 | .6920029 .1041564 -2.45 0.016 .5135131 .9325333
_IMJ_3 | .7410859 .2980164 -0.75 0.458 .3339858 1.644406
_IMJ_4 | .7979358 .2167948 -0.83 0.408 .4656985 1.367197
_cons | .1444932 .0100806 -27.73 0.000 .1258334 .1659199
------------------------------------------------------------------------------
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.MJ gndr i.MJ*gndr, rrr pweight: wtmec12yr
VCE: linearized
Single unit: missing
Strata 1: sdmvstra
SU 1: sdmvpsu
FPC 1: <zero>
i.MJ _IMJ_0-4 (naturally coded; _IMJ_0 omitted)
i.MJ*gndr _IMJXgndr_# (coded as above)
(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( 27, 83) = 23.80
Prob > F = 0.0000
------------------------------------------------------------------------------
| Linearized
BP_cat | RRR Std. Err. t P>|t| [95% Conf. Interval]
-------------+----------------------------------------------------------------
Normal | (base outcome)
-------------+----------------------------------------------------------------
Elevated |
_IMJ_1 | .8973761 .0661503 -1.47 0.145 .7753959 1.038545
_IMJ_2 | .6995585 .1080518 -2.31 0.023 .515079 .9501107
_IMJ_3 | 1.155806 .3437168 0.49 0.627 .6410774 2.083816
_IMJ_4 | .904521 .2284574 -0.40 0.692 .5482956 1.492185
gndr | 1.828317 .1187532 9.29 0.000 1.607472 2.079503
_IMJ_1 | 1 (omitted)
_IMJ_2 | 1 (omitted)
_IMJ_3 | 1 (omitted)
_IMJ_4 | 1 (omitted)
gndr | 1 (omitted)
_IMJXgndr_1 | 1.236782 .1377943 1.91 0.059 .9917296 1.542387
_IMJXgndr_2 | 1.690785 .3057503 2.90 0.004 1.181503 2.419591
_IMJXgndr_3 | 1.260916 .4431134 0.66 0.511 .6283434 2.530318
_IMJXgndr_4 | 1.530003 .4727121 1.38 0.172 .8293755 2.822495
_cons | .2280199 .0109087 -30.90 0.000 .2073927 .2506987
-------------+----------------------------------------------------------------
Stage_1_HTN |
_IMJ_1 | .8525828 .0682291 -1.99 0.049 .727534 .999125
_IMJ_2 | .7739365 .1111255 -1.78 0.077 .5822556 1.02872
_IMJ_3 | .6433352 .219874 -1.29 0.200 .3267792 1.266544
_IMJ_4 | .7788413 .169243 -1.15 0.253 .5062971 1.198098
gndr | 1.911898 .1437468 8.62 0.000 1.647208 2.219122
_IMJ_1 | 1 (omitted)
_IMJ_2 | 1 (omitted)
_IMJ_3 | 1 (omitted)
_IMJ_4 | 1 (omitted)
gndr | 1 (omitted)
_IMJXgndr_1 | 1.309695 .153446 2.30 0.023 1.038299 1.65203
_IMJXgndr_2 | 1.313448 .217852 1.64 0.103 .9454645 1.824653
_IMJXgndr_3 | 1.304729 .5294111 0.66 0.513 .5837897 2.915977
_IMJXgndr_4 | 1.083232 .3201947 0.27 0.787 .6029601 1.946052
_cons | .2971067 .0156086 -23.10 0.000 .267727 .3297104
-------------+----------------------------------------------------------------
Stage_2_HTN |
_IMJ_1 | .9273116 .0817424 -0.86 0.394 .7786639 1.104336
_IMJ_2 | .6920036 .1041564 -2.45 0.016 .5135137 .932534
_IMJ_3 | .7410861 .2980165 -0.75 0.458 .3339859 1.644407
_IMJ_4 | .7979359 .2167948 -0.83 0.408 .4656986 1.367197
gndr | 2.176399 .1988809 8.51 0.000 1.815858 2.608526
_IMJ_1 | 1 (omitted)
_IMJ_2 | 1 (omitted)
_IMJ_3 | 1 (omitted)
_IMJ_4 | 1 (omitted)
gndr | 1 (omitted)
_IMJXgndr_1 | 1.169107 .130577 1.40 0.165 .9369502 1.458786
_IMJXgndr_2 | 1.412308 .2986858 1.63 0.105 .9287305 2.147677
_IMJXgndr_3 | 1.13165 .5235416 0.27 0.790 .4523712 2.830931
_IMJXgndr_4 | 1.028077 .361143 0.08 0.937 .5124581 2.062493
_cons | .1444932 .0100806 -27.73 0.000 .1258334 .1659199
------------------------------------------------------------------------------
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.MJ ridageyr, rrr pweight: wtmec12yr
VCE: linearized
Single unit: missing
Strata 1: sdmvstra
SU 1: sdmvpsu
FPC 1: <zero>
i.MJ _IMJ_0-4 (naturally coded; _IMJ_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( 15, 95) = 25.69
Prob > F = 0.0000
------------------------------------------------------------------------------
| Linearized
BP_cat | RRR Std. Err. t P>|t| [95% Conf. Interval]
-------------+----------------------------------------------------------------
Normal | (base outcome)
-------------+----------------------------------------------------------------
Elevated |
_IMJ_1 | 1.104955 .0901474 1.22 0.224 .9399834 1.298881
_IMJ_2 | 1.201143 .1349806 1.63 0.106 .9613147 1.500804
_IMJ_3 | 1.490514 .3222008 1.85 0.068 .9711094 2.287726
_IMJ_4 | 1.40665 .2272686 2.11 0.037 1.021212 1.937565
ridageyr | 1.004048 .0033653 1.21 0.231 .9974003 1.01074
_cons | .3578418 .0496566 -7.41 0.000 .2717981 .4711246
-------------+----------------------------------------------------------------
Stage_1_HTN |
_IMJ_1 | 1.079369 .0883091 0.93 0.353 .9177975 1.269385
_IMJ_2 | 1.132311 .1363701 1.03 0.304 .8918674 1.437578
_IMJ_3 | .9869854 .2206866 -0.06 0.953 .6336482 1.537352
_IMJ_4 | .9477825 .1577972 -0.32 0.748 .6813972 1.318309
ridageyr | 1.029567 .0028833 10.40 0.000 1.023868 1.035297
_cons | .1804434 .0222421 -13.89 0.000 .1413321 .230378
-------------+----------------------------------------------------------------
Stage_2_HTN |
_IMJ_1 | 1.007366 .0933502 0.08 0.937 .8383449 1.210463
_IMJ_2 | 1.203217 .1700247 1.31 0.193 .9093097 1.592122
_IMJ_3 | 1.156008 .3061477 0.55 0.585 .6839195 1.953965
_IMJ_4 | 1.031802 .2246254 0.14 0.886 .6702046 1.588492
ridageyr | 1.06312 .0037942 17.15 0.000 1.055627 1.070667
_cons | .02512 .0042299 -21.88 0.000 .0179919 .0350721
------------------------------------------------------------------------------
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.MJ ridageyr, rrr pweight: wtmec12yr
VCE: linearized
Single unit: missing
Strata 1: sdmvstra
SU 1: sdmvpsu
FPC 1: <zero>
i.MJ _IMJ_0-4 (naturally coded; _IMJ_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( 15, 95) = 65.56
Prob > F = 0.0000
------------------------------------------------------------------------------
| Linearized
BP_cat | RRR Std. Err. t P>|t| [95% Conf. Interval]
-------------+----------------------------------------------------------------
Normal | (base outcome)
-------------+----------------------------------------------------------------
Elevated |
_IMJ_1 | .8921941 .0682114 -1.49 0.139 .7667459 1.038167
_IMJ_2 | .9350331 .1402465 -0.45 0.655 .6945783 1.258731
_IMJ_3 | 1.434354 .4353485 1.19 0.237 .785965 2.617638
_IMJ_4 | 1.142521 .2896618 0.53 0.600 .6912541 1.888387
ridageyr | 1.053495 .0040032 13.71 0.000 1.045591 1.061459
_cons | .0279615 .0045801 -21.84 0.000 .02021 .038686
-------------+----------------------------------------------------------------
Stage_1_HTN |
_IMJ_1 | .8479887 .0682946 -2.05 0.043 .7228814 .9947479
_IMJ_2 | 1.11356 .1704099 0.70 0.484 .8222249 1.508123
_IMJ_3 | .8375161 .2688826 -0.55 0.582 .4432501 1.582477
_IMJ_4 | 1.040011 .2298715 0.18 0.859 .6710989 1.611719
ridageyr | 1.068497 .0042926 16.49 0.000 1.060023 1.077039
_cons | .0194879 .00372 -20.63 0.000 .0133493 .0284492
-------------+----------------------------------------------------------------
Stage_2_HTN |
_IMJ_1 | .9298373 .0905392 -0.75 0.457 .7666447 1.127768
_IMJ_2 | 1.200483 .2093219 1.05 0.297 .8497089 1.696062
_IMJ_3 | 1.081766 .4577725 0.19 0.853 .467612 2.502542
_IMJ_4 | 1.216433 .3694505 0.65 0.520 .6662884 2.220825
ridageyr | 1.115521 .0043328 28.15 0.000 1.106966 1.124141
_cons | .0012441 .0002491 -33.41 0.000 .0008366 .0018502
------------------------------------------------------------------------------
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.MJ gndr i.MJ*gndr ridageyr, rrr pweight: wtmec12yr
VCE: linearized
Single unit: missing
Strata 1: sdmvstra
SU 1: sdmvpsu
FPC 1: <zero>
i.MJ _IMJ_0-4 (naturally coded; _IMJ_0 omitted)
i.MJ*gndr _IMJXgndr_# (coded as above)
(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( 30, 80) = 60.15
Prob > F = 0.0000
------------------------------------------------------------------------------
| Linearized
BP_cat | RRR Std. Err. t P>|t| [95% Conf. Interval]
-------------+----------------------------------------------------------------
Normal | (base outcome)
-------------+----------------------------------------------------------------
Elevated |
_IMJ_1 | .8965396 .0664462 -1.47 0.143 .7740611 1.038398
_IMJ_2 | .8116458 .1232275 -1.37 0.172 .6007346 1.096605
_IMJ_3 | 1.292277 .3799934 0.87 0.385 .7215236 2.31452
_IMJ_4 | 1.019076 .2555754 0.08 0.940 .6199203 1.67524
gndr | 1.921698 .1261043 9.95 0.000 1.687335 2.188614
_IMJ_1 | 1 (omitted)
_IMJ_2 | 1 (omitted)
_IMJ_3 | 1 (omitted)
_IMJ_4 | 1 (omitted)
gndr | 1 (omitted)
_IMJXgndr_1 | 1.203865 .1357795 1.65 0.103 .9627116 1.505426
_IMJXgndr_2 | 1.616593 .2849941 2.72 0.008 1.139869 2.292695
_IMJXgndr_3 | 1.312139 .4542119 0.78 0.434 .6607219 2.605799
_IMJXgndr_4 | 1.515493 .4638372 1.36 0.177 .8262423 2.779716
ridageyr | 1.026766 .0027915 9.72 0.000 1.021248 1.032314
_cons | .0798352 .0091287 -22.11 0.000 .0636461 .1001422
-------------+----------------------------------------------------------------
Stage_1_HTN |
_IMJ_1 | .852703 .0672621 -2.02 0.046 .7292902 .9970001
_IMJ_2 | 1.004808 .1442829 0.03 0.973 .755935 1.335615
_IMJ_3 | .776441 .2474464 -0.79 0.429 .4128487 1.460246
_IMJ_4 | .9563844 .2031714 -0.21 0.834 .6277341 1.457099
gndr | 2.094408 .1636288 9.46 0.000 1.793963 2.445172
_IMJ_1 | 1 (omitted)
_IMJ_2 | 1 (omitted)
_IMJ_3 | 1 (omitted)
_IMJ_4 | 1 (omitted)
gndr | 1 (omitted)
_IMJXgndr_1 | 1.243073 .1477843 1.83 0.070 .9821201 1.573363
_IMJXgndr_2 | 1.211015 .2014944 1.15 0.252 .8708282 1.684094
_IMJXgndr_3 | 1.413922 .5632586 0.87 0.387 .6419906 3.114025
_IMJXgndr_4 | 1.069925 .3161427 0.23 0.819 .5956838 1.921724
ridageyr | 1.048055 .0025255 19.48 0.000 1.043062 1.053073
_cons | .0433077 .0049433 -27.50 0.000 .0345395 .0543019
-------------+----------------------------------------------------------------
Stage_2_HTN |
_IMJ_1 | .9337348 .086624 -0.74 0.461 .7769084 1.122218
_IMJ_2 | 1.061656 .1707114 0.37 0.711 .7719274 1.460129
_IMJ_3 | .992621 .4021025 -0.02 0.985 .4447313 2.215487
_IMJ_4 | 1.104749 .3143486 0.35 0.727 .628552 1.941718
gndr | 2.554736 .2415478 9.92 0.000 2.118177 3.08127
_IMJ_1 | 1 (omitted)
_IMJ_2 | 1 (omitted)
_IMJ_3 | 1 (omitted)
_IMJ_4 | 1 (omitted)
gndr | 1 (omitted)
_IMJXgndr_1 | 1.057077 .126625 0.46 0.644 .833678 1.34034
_IMJXgndr_2 | 1.226027 .2559438 0.98 0.331 .8106057 1.854346
_IMJXgndr_3 | 1.311989 .6353206 0.56 0.576 .5024754 3.425669
_IMJXgndr_4 | 1.016726 .395412 0.04 0.966 .4703807 2.197651
ridageyr | 1.085271 .0027943 31.78 0.000 1.079747 1.090823
_cons | .0042513 .0005404 -42.95 0.000 .0033044 .0054694
------------------------------------------------------------------------------
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.MJ ridageyr i.AL_cat bmxbmi hei2015 SMK_cat, rrr pweight: wtmec12yr
VCE: linearized
Single unit: missing
Strata 1: sdmvstra
SU 1: sdmvpsu
FPC 1: <zero>
i.MJ _IMJ_0-4 (naturally coded; _IMJ_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 = 68,191
Number of PSUs = 214 Population size = 294,135,108
Subpop. no. obs = 8,342
Subpop. size = 58,784,006.4
Design df = 109
F( 30, 80) = 19.69
Prob > F = 0.0000
------------------------------------------------------------------------------
| Linearized
BP_cat | RRR Std. Err. t P>|t| [95% Conf. Interval]
-------------+----------------------------------------------------------------
Normal | (base outcome)
-------------+----------------------------------------------------------------
Elevated |
_IMJ_1 | 1.029215 .0954903 0.31 0.757 .8563378 1.236992
_IMJ_2 | 1.23101 .1544341 1.66 0.100 .9600123 1.578506
_IMJ_3 | 1.70292 .4283648 2.12 0.037 1.034363 2.803596
_IMJ_4 | 1.420692 .278281 1.79 0.076 .9636008 2.094607
ridageyr | 1.006308 .0037867 1.67 0.098 .9988309 1.013841
_IAL_cat_1 | 1.110589 .1138247 1.02 0.308 .906429 1.360732
_IAL_cat_2 | 1.301707 .1554497 2.21 0.029 1.027358 1.649319
bmxbmi | 1.062824 .0085671 7.56 0.000 1.045979 1.07994
hei2015 | .9985276 .0033812 -0.44 0.664 .9918486 1.005252
SMK_cat | 1.026822 .0426495 0.64 0.525 .9456777 1.114929
_cons | .060901 .0216853 -7.86 0.000 .0300698 .1233441
-------------+----------------------------------------------------------------
Stage_1_HTN |
_IMJ_1 | 1.05677 .1035199 0.56 0.574 .8702856 1.283215
_IMJ_2 | 1.347343 .1805813 2.22 0.028 1.03303 1.757291
_IMJ_3 | 1.290155 .3169866 1.04 0.302 .7927875 2.099554
_IMJ_4 | 1.177875 .246408 0.78 0.436 .7780929 1.783065
ridageyr | 1.029711 .0036452 8.27 0.000 1.022511 1.036961
_IAL_cat_1 | 1.077236 .0951664 0.84 0.402 .9042089 1.283373
_IAL_cat_2 | 1.214662 .1227036 1.93 0.057 .9942667 1.483912
bmxbmi | 1.092266 .007082 13.61 0.000 1.078319 1.106392
hei2015 | .9957018 .003095 -1.39 0.169 .9895865 1.001855
SMK_cat | 1.002658 .0383125 0.07 0.945 .9295285 1.081542
_cons | .0164899 .0041127 -16.46 0.000 .0100586 .0270331
-------------+----------------------------------------------------------------
Stage_2_HTN |
_IMJ_1 | .9403952 .1050574 -0.55 0.583 .7536155 1.173467
_IMJ_2 | 1.396226 .2578861 1.81 0.074 .9682153 2.013444
_IMJ_3 | 1.324358 .4048688 0.92 0.360 .7225432 2.427433
_IMJ_4 | 1.140741 .3121489 0.48 0.631 .6632115 1.962105
ridageyr | 1.068822 .0049959 14.24 0.000 1.058966 1.07877
_IAL_cat_1 | 1.432149 .1589488 3.24 0.002 1.149359 1.784516
_IAL_cat_2 | 1.649894 .2017082 4.10 0.000 1.294864 2.102269
bmxbmi | 1.128127 .0093439 14.56 0.000 1.109758 1.146799
hei2015 | .9942569 .0036443 -1.57 0.119 .9870601 1.001506
SMK_cat | 1.009376 .0433372 0.22 0.828 .9270364 1.09903
_cons | .0006471 .000226 -21.03 0.000 .0003239 .0012928
------------------------------------------------------------------------------
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.MJ ridageyr i.AL_cat bmxbmi hei2015 SMK_cat, rrr pweight: wtmec12yr
VCE: linearized
Single unit: missing
Strata 1: sdmvstra
SU 1: sdmvpsu
FPC 1: <zero>
i.MJ _IMJ_0-4 (naturally coded; _IMJ_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 = 68,570
Number of PSUs = 214 Population size = 296,912,292
Subpop. no. obs = 9,059
Subpop. size = 60,697,748.6
Design df = 109
F( 30, 80) = 38.00
Prob > F = 0.0000
------------------------------------------------------------------------------
| Linearized
BP_cat | RRR Std. Err. t P>|t| [95% Conf. Interval]
-------------+----------------------------------------------------------------
Normal | (base outcome)
-------------+----------------------------------------------------------------
Elevated |
_IMJ_1 | .7949089 .0710841 -2.57 0.012 .6658016 .9490517
_IMJ_2 | .8260803 .1475029 -1.07 0.287 .5798659 1.176839
_IMJ_3 | 1.097982 .348598 0.29 0.769 .5852125 2.060046
_IMJ_4 | .8437713 .2189417 -0.65 0.514 .5045166 1.411153
ridageyr | 1.053451 .0048875 11.22 0.000 1.043809 1.063182
_IAL_cat_1 | 1.037044 .1102129 0.34 0.733 .8400775 1.280192
_IAL_cat_2 | 1.159048 .1765683 0.97 0.335 .8569872 1.567575
bmxbmi | 1.067237 .0060512 11.48 0.000 1.055311 1.079298
hei2015 | .9987202 .0027401 -0.47 0.642 .9933042 1.004166
SMK_cat | 1.128644 .0506613 2.70 0.008 1.032572 1.233655
_cons | .0041971 .00122 -18.83 0.000 .0023591 .0074672
-------------+----------------------------------------------------------------
Stage_1_HTN |
_IMJ_1 | .7620305 .0755567 -2.74 0.007 .6260753 .9275088
_IMJ_2 | 1.090053 .1814433 0.52 0.605 .7837393 1.516087
_IMJ_3 | .6329396 .2484922 -1.17 0.247 .2906891 1.378148
_IMJ_4 | .958582 .2533151 -0.16 0.873 .5677607 1.618428
ridageyr | 1.072397 .0052039 14.40 0.000 1.062133 1.082761
_IAL_cat_1 | 1.154032 .1197725 1.38 0.170 .9394704 1.417596
_IAL_cat_2 | 1.136343 .1884004 0.77 0.442 .8180872 1.578407
bmxbmi | 1.069907 .0057626 12.55 0.000 1.058546 1.08139
hei2015 | .9933766 .0029697 -2.22 0.028 .9875082 .9992798
SMK_cat | 1.059519 .0464413 1.32 0.190 .9713591 1.155681
_cons | .0029992 .0010433 -16.70 0.000 .0015052 .0059762
-------------+----------------------------------------------------------------
Stage_2_HTN |
_IMJ_1 | .8640059 .1050208 -1.20 0.232 .6790327 1.099367
_IMJ_2 | 1.095617 .232128 0.43 0.667 .7199299 1.667351
_IMJ_3 | .3178483 .0893315 -4.08 0.000 .1820972 .5548
_IMJ_4 | .912519 .3123359 -0.27 0.790 .4630447 1.798295
ridageyr | 1.119427 .0055198 22.88 0.000 1.10854 1.130421
_IAL_cat_1 | 1.190862 .1569827 1.33 0.188 .9170523 1.546425
_IAL_cat_2 | 1.680285 .2992687 2.91 0.004 1.18053 2.391602
bmxbmi | 1.086122 .0084733 10.59 0.000 1.069457 1.103046
hei2015 | .9898551 .0042158 -2.39 0.018 .9815348 .998246
SMK_cat | 1.111808 .0676411 1.74 0.084 .985513 1.254288
_cons | .0001289 .0000603 -19.15 0.000 .000051 .0003257
------------------------------------------------------------------------------
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.MJ gndr i.MJ*gndr ridageyr i.AL_cat bmxbmi hei2015 SMK_cat, rrr pweight: wtmec12yr
VCE: linearized
Single unit: missing
Strata 1: sdmvstra
SU 1: sdmvpsu
FPC 1: <zero>
i.MJ _IMJ_0-4 (naturally coded; _IMJ_0 omitted)
i.MJ*gndr _IMJXgndr_# (coded as above)
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 = 66,571
Number of PSUs = 214 Population size = 284,502,347
Subpop. no. obs = 17,401
Subpop. size = 119,481,755
Design df = 109
F( 45, 65) = 54.13
Prob > F = 0.0000
------------------------------------------------------------------------------
| Linearized
BP_cat | RRR Std. Err. t P>|t| [95% Conf. Interval]
-------------+----------------------------------------------------------------
Normal | (base outcome)
-------------+----------------------------------------------------------------
Elevated |
_IMJ_1 | .8206624 .0660621 -2.46 0.016 .6996403 .9626185
_IMJ_2 | .7429862 .1246104 -1.77 0.079 .5328663 1.035961
_IMJ_3 | 1.024067 .3189027 0.08 0.939 .5524352 1.898345
_IMJ_4 | .7957466 .2080436 -0.87 0.384 .4739521 1.336027
gndr | 2.032898 .1636253 8.81 0.000 1.733143 2.384497
_IMJ_1 | 1 (omitted)
_IMJ_2 | 1 (omitted)
_IMJ_3 | 1 (omitted)
_IMJ_4 | 1 (omitted)
gndr | 1 (omitted)
_IMJXgndr_1 | 1.215875 .1576335 1.51 0.135 .9403623 1.57211
_IMJXgndr_2 | 1.763056 .3259736 3.07 0.003 1.222137 2.543389
_IMJXgndr_3 | 1.825476 .6705391 1.64 0.104 .8814547 3.780524
_IMJXgndr_4 | 1.905922 .6027808 2.04 0.044 1.018299 3.567258
ridageyr | 1.028383 .0032457 8.87 0.000 1.02197 1.034836
_IAL_cat_1 | 1.077993 .0862199 0.94 0.350 .9199639 1.263167
_IAL_cat_2 | 1.256025 .1183167 2.42 0.017 1.042115 1.513844
bmxbmi | 1.061977 .0052051 12.27 0.000 1.051711 1.072344
hei2015 | .9982454 .0022855 -0.77 0.445 .9937258 1.002786
SMK_cat | 1.065959 .0324676 2.10 0.038 1.003514 1.132291
_cons | .0134552 .0029139 -19.89 0.000 .0087596 .0206679
-------------+----------------------------------------------------------------
Stage_1_HTN |
_IMJ_1 | .7898962 .0749092 -2.49 0.014 .6545469 .9532335
_IMJ_2 | 1.012156 .1495946 0.08 0.935 .7551433 1.356643
_IMJ_3 | .6046129 .236499 -1.29 0.201 .2784746 1.312712
_IMJ_4 | .9218608 .2392764 -0.31 0.755 .5511234 1.541991
gndr | 2.176661 .1955311 8.66 0.000 1.821664 2.600838
_IMJ_1 | 1 (omitted)
_IMJ_2 | 1 (omitted)
_IMJ_3 | 1 (omitted)
_IMJ_4 | 1 (omitted)
gndr | 1 (omitted)
_IMJXgndr_1 | 1.290266 .1739368 1.89 0.061 .9877414 1.685448
_IMJXgndr_2 | 1.365961 .2409225 1.77 0.080 .9629892 1.93756
_IMJXgndr_3 | 2.255292 1.035452 1.77 0.079 .9078433 5.602664
_IMJXgndr_4 | 1.319826 .448195 0.82 0.416 .6733102 2.58713
ridageyr | 1.050239 .0032206 15.98 0.000 1.043875 1.056641
_IAL_cat_1 | 1.124049 .0827315 1.59 0.115 .9714762 1.300583
_IAL_cat_2 | 1.209881 .1057653 2.18 0.031 1.017412 1.43876
bmxbmi | 1.076376 .0047094 16.82 0.000 1.067083 1.08575
hei2015 | .9944787 .0021428 -2.57 0.012 .9902408 .9987347
SMK_cat | 1.023345 .0292868 0.81 0.422 .9669154 1.083069
_cons | .005661 .0012014 -24.38 0.000 .0037172 .0086212
-------------+----------------------------------------------------------------
Stage_2_HTN |
_IMJ_1 | .8954608 .1044797 -0.95 0.346 .7105848 1.128437
_IMJ_2 | 1.027888 .1884131 0.15 0.881 .7147726 1.478167
_IMJ_3 | .3094221 .0839272 -4.32 0.000 .180751 .5296901
_IMJ_4 | .9282501 .2842461 -0.24 0.808 .5059252 1.703114
gndr | 2.918113 .2906061 10.75 0.000 2.395421 3.554858
_IMJ_1 | 1 (omitted)
_IMJ_2 | 1 (omitted)
_IMJ_3 | 1 (omitted)
_IMJ_4 | 1 (omitted)
gndr | 1 (omitted)
_IMJXgndr_1 | 1.012596 .1374907 0.09 0.927 .7736817 1.325288
_IMJXgndr_2 | 1.358929 .3195351 1.30 0.195 .8527085 2.165674
_IMJXgndr_3 | 4.445489 1.683744 3.94 0.000 2.09848 9.417472
_IMJXgndr_4 | 1.24593 .5228843 0.52 0.601 .5423203 2.862405
ridageyr | 1.090913 .0035894 26.45 0.000 1.083822 1.098051
_IAL_cat_1 | 1.336621 .1100836 3.52 0.001 1.135316 1.57362
_IAL_cat_2 | 1.668561 .17752 4.81 0.000 1.351342 2.060246
bmxbmi | 1.102113 .0062368 17.18 0.000 1.089821 1.114544
hei2015 | .9922125 .0026277 -2.95 0.004 .9870181 .9974343
SMK_cat | 1.044783 .0377921 1.21 0.228 .9725023 1.122436
_cons | .000218 .0000641 -28.69 0.000 .0001218 .0003904
------------------------------------------------------------------------------
Note: _cons estimates baseline relative risk for each outcome.To be calculated later