multCox: multCox

Description Usage Arguments Value Examples

Description

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

Usage

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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

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#NULL

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