mi_PS: Calculate Propensity Scores with multiple imputation

In MBender1992/emR: Dictionary for EuMelaReg functions (analysis of clinical studies)

Calculate Propensity Scores with multiple imputation

Description

This code generates propensity scores with multiple imputed values for missing data. Imputation is conducted with the mice::mice() function. Results are averaged for each row of entries representing single iterations.

Usage

mi_PS(data, vars, prop.var = NULL, m = 5, ...)

Arguments

data	data.frame or data.table containing survival data.
vars	variables tested for Influence on outcome.
prop.var	variable for which propensity scores should be calculated. If no value is provided (prop.var = NULL), no weights are used in coxph. Default is NULL.
m	Number of multiple imputations. The default is m=5.
...	additional arguments to be passed on to coxph function

MBender1992/emR documentation built on Feb. 18, 2025, 9:21 a.m.