all_glm {allestimates} | R Documentation |
Estimates all possible effect estimates using glm
Description
all_glm
estimates odds ratios or rate ratios using
generalized linear models (glm
) with all
possible combinations of a list of variables (potential confounding factors).
Usage
all_glm(crude, xlist, data, family = "binomial", na_omit = TRUE, ...)
Arguments
crude |
An object of formula for initial model, generally crude model. However, any other variables can also be included here as the initial model. |
xlist |
A vector of a list of variable names (potential confounding factors). |
data |
Data frame. |
family |
family Description of the error distribution. Default is |
na_omit |
Remove all missing values. Default is |
... |
Further optional arguments. |
Value
A list of all effect estimates.
See Also
stats
Examples
diab_df$Overweight <- as.numeric(diab_df$BMI >= 25)
vlist <- c("Age", "Sex", "Income")
all_glm(crude = "Diabetes ~ Overweight", xlist = vlist, data = diab_df)
[Package allestimates version 0.2.3 Index]