tte: Calculating log-rank test p-value, median time from each arm,...

In EventPredInCure: Event Prediction Including Cured Population

Calculating log-rank test p-value, median time from each arm, hazard ratio between two arms, number of subjects and events in time-to-event outcomes.

Description

Calculate log-rank test p-value, median time from each arm, HR between arms, number of subjects and events

Usage

tte(os, osc, grp, type, test = "Futility")

Arguments

os	Time to event variable
osc	Time to event censoring variable
grp	Treatment assignment indicator with 1 denoting the treated group, and 0 denoting the placebo group.
type	either "all" or "logrank" or "hr"
test	a character denotes the test type, include "Superiority","Futility","Two-sided"

Details

The control arm

Value

If type='all', return a list that includes the log-rank p-value, median time from each arm, hazard ratio between arms, and 95% confidence interval of hazard ratio, number of subjects and events; and events If type='logrank', return a list that includes the log-rank p-value, number of subjects and events; If type='hr', return a list that includes hazard ratio between arms, and 95% confidence interval of hazard ratio

Examples

n <- 500
event <- runif(n,1, 5)
osc<-1*(event<=4)
os <- pmin(event,4)
trt<-c(rep(0,n/2),rep(1,n/2))
tte(os,osc,trt,type='all')

EventPredInCure documentation built on May 29, 2024, 11:04 a.m.