-
Notifications
You must be signed in to change notification settings - Fork 0
/
EMM2.Rmd
160 lines (110 loc) · 3.34 KB
/
EMM2.Rmd
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
---
title: "Effect Measure Modification"
author: "Bryon Langford, Matthew Hoctor"
date: "7/21/2021"
output:
html_document:
number_sections: no
theme: lumen
toc: yes
toc_float:
collapsed: yes
smooth_scroll: no
pdf_document:
toc: yes
word_document:
toc: yes
---
```{r setup, include=FALSE}
knitr::opts_chunk$set(echo = TRUE)
if (Sys.info()["sysname"] == "Windows")
knitr::opts_chunk$set(engine.path = list(stata = "C:/Program Files/Stata17/StataBE-64"))
if ((Sys.info()["sysname"] == "Darwin"))
knitr::opts_chunk$set(engine.path = list(stata = "/Applications/Stata/StataIC"))
```
```{r libraries, include=FALSE}
library(Statamarkdown)
```
# Models
From [model building](https://matthew-hoctor.github.io/Marijuana-HTN---EPI536/Model_Building2.html).
## Model 1: crude model
```{stata}
use "data\NHANES0518_new.dta", clear
svyset sdmvpsu [pw=wtmec12yr], strata(sdmvstra)
xi: svy,subpop(if include==1): mlogit BP_cat i.MJ, rrr
```
## Model 2 Final Model (without mediators)
```{stata}
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
```
## Model 3 Final Model (with mediators)
```{stata}
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
```
# Gender EMM Analysis
## Model 1
### Stratified Analysis
#### Men
```{stata}
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
```
#### Women
```{stata}
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
```
### Interaction Analysis
```{stata}
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
```
## Model 2
### Stratified Analysis
#### Men
```{stata}
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
```
#### Women
```{stata}
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
```
### Interaction Analysis
```{stata}
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
```
## Model 3
### Stratified Analysis
#### Men
```{stata}
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
```
#### Women
```{stata}
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
```
### Interaction Analysis
```{stata}
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
```
# Age
To be calculated later