pval.cal: Calculate p-value for treatment in each subgroup in...

Description Usage Arguments Value

Description

Calculate p-value for treatment in each subgroup in predictive case

Usage

1
pval.cal(data, yvar, censorvar, trtvar, type, des.res)

Arguments

data

input data frame

yvar

name for response variable

censorvar

name for censoring (1: event; 0: censor), default = NULL

trtvar

name for treatment variable, default = NULL (prognostic signature)

type

type of response variable: "c" continuous (default); "s" survival; "b" binary

des.res

the desired response. "larger": prefer larger response (default) "smaller": prefer smaller response

Value

p-value for the treatment given the dataset


SubgrpID documentation built on May 2, 2019, 8:02 a.m.