brs: Summary table for bivariate regression models

In dtdibaba/StatTools: Biostatistical tools to produce clean data analysis results with StatTools

Summary table for bivariate regression models

Description

This function creates a summary table from multiple bivariate regression models. If you would like to examine the bivariate associations between multiple potential confounders and an outcome variable, you may want to run multiple bivariate models and summarize the results in one table. This function helps you with that. brs: stands for bivariate regression summary.

Usage

brs(..., EXP  =  TRUE, EST, Out)

Arguments

...	List of the bivariate regression models separated by comma
EXP	Logical, whether to exponentiate the estimate or not
EST	What to call the estimate column (a quoted string e.g. OR, HR)
Out	The label for the response variable (a quoted string)

Examples

# Example
set.seed(1234)
model1 <- glm(vs ~ gear, data = mtcars, family = binomial)
model2 <- glm(vs ~ hp, data = mtcars, family = binomial)
model3 <- glm(vs ~ drat, data = mtcars, family = binomial)
brs(model1,model2, model3,EXP = TRUE, Out = "Outcome:VS", EST = "OR")

dtdibaba/StatTools documentation built on Jan. 27, 2025, 3:59 p.m.