wlrcal {PWEALL}

A utility function to calculate the weighted log-rank statistics and their varainces given the weights

Description

A utility function to calculate the weighted log-rank statistics and their varainces given the weights

Usage

wlrcal(n=10,te=c(1,2,3),tfix=2.0,dd1=c(1,0,1),dd0=c(0,1,0),r1=c(1,2,3),r0=c(1,2,3),
       weights=matrix(1,nrow=length(te),ncol=1),eps=1.0e-08)

Arguments

n

total number of subjects in the study

te

(ascendingly) ordered unique event times from both groups

tfix

time point where weighted log-rank is calcualted

dd1

number of events from treatment group at each te

dd0

number of events from control group at each te

r1

number of at-risk subjects from treatment group at each te

r0

number of at-risk subjects from control group at each te

weights

user specified weights, each column is a set of weights at each te

eps

tolerence when comparing event times

Details

More details

Value

test

unscaled test statistics

var

variances of the unsclaed test statistics

wlr

weighted log-rank statistics, i.e. scaled test statsitics

wlcor

the correlation matrix of the weighted log-rank statistics

Author(s)

Xiaodong Luo

Examples

lr<-wlrcal(n=10,te=c(1,2,3),tfix=2.0,dd1=c(1,0,1),dd0=c(0,1,0),r1=c(1,2,3),r0=c(1,2,3))
lr