multCox: multCox

In TaylorAndrew/atAnalyze: Methods for Iterative Analytical Reporting

Description

multCox will compute univariate Cox proportional hazards model models for multiple predictor variables.

Usage

multCox(data, timevar, event, vars, classvars = NULL, varLabelTable = NULL,
  dec = 2, pdec = 3)

Arguments

data	Input data.frame
timevar	Time variable
event	Event variable, where event=1, censor=0
vars	Vector of variable names to be modeled
classvars	Vector of variable names that should be treated as categorical
varLabelTable	A varLabelTable object that will convert variable names to nicer labels in the output table
dec	Number of decimals for descriptive statistics
pdec	Number of decimals for p-values

Value

Output table including the results from each univariate model

Examples

#NULL

TaylorAndrew/atAnalyze documentation built on May 9, 2019, 4:21 p.m.