mi_coxph: Coxph with multiple imputed values

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

Coxph with multiple imputed values

Description

This code generates a coxph model with multiple imputed values for missing data. Imputation is conducted with the mice::mice() function. Pooled results obtained with mice::pool() and respective pvalues and 95% CIs are presented as results.

Usage

mi_coxph(data, time, status, vars, prop.var = NULL, m = 5, ...)

Arguments

data	data.frame or data.table containing survival data.
time	the time interval from start of observation until date of event (e.g. disease progression or death) or censoring.
status	variable specifying if event occured or data has been censored.
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.