Short.test {ComparisonSurv}R Documentation

Statistical Inference Methods for Testing Before a Specified Time Point

Description

A function used to produce the results of statistical inference methods for testing the difference before a specified time point.

Usage

Short.test(time,status,group,t0)

Arguments

time

The follow up time for right censored data.

status

The status indicator, normally 1=event, 0=alive or right censored.

group

The group indicator for comparison, and the elements of this vector must take either 0 or 1. Normally, 0= control group, 1= treatment group.

t0

The cut-point time, which should larger than the minimum of non-censored time and also less than the maximum of all survival time.

Value

A list containing the following components:

method

Containing 2 types of statistical inference methods: partial Weighted Kaplan-Meier and partial log-rank.

t0

The prespecified cut-point time.

statistic

The statistics of corresponding methods.

pvalue

The test P value of corresponding methods.

Note

The partial Weighted Kaplan-Meier method and partial log-rank method are different from the Weighted Kaplan-Meier method and the log-rank method in overall.test. Here, the "partial" means let all observations right censored at the cut-point time t0.

See Also

crosspoint,Long.test

Examples

#get 'Crossdata' from package
data(Crossdata)
data1<-Crossdata
#
#get cross point
crosspoint(data1$time,data1$status,data1$group)
#two survival curves crossing at 1.69 years
#
#get the result before cross point (t0=1.69)
Short.test(data1$time,data1$status,data1$group,t0=1.69)

[Package ComparisonSurv version 1.1.1 Index]