Descriptive.stat {ComparisonSurv}R Documentation

Summarize Descriptive Statistics Commonly Used in Survival Data

Description

A function used to produce result summaries of the results of various descriptive statistics.

Usage

Descriptive.stat(time, status, group, tau="observed", alpha=0.05)

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.

tau

The truncation time point (numeric) for the RMST calculation, which needs to be smaller than or equal to the minimum of the largest observed time in each of the two groups. When tau="observed" (default), the minimum of the largest observed time in each of the two groups is used. It can be changed tp tau="event" to choose the minimum of the largest event time in each of the two groups.

alpha

The significance level, the default is 0.05.

Value

A list containing the following components:

result.summary

The summary statistics in each group, including sample.size, the number of event (event.num), censoring.rate, max.observed.time, max.event.time.

result.mean

The results of mean survival time in each group.

result.quantile

Quantiles and 0.95 CI of survival time in each group.

tau

The truncation time point for the restricted mean survival time (RMST) calculation.

result.RMST

The results of RMST in each group. See references for details.

Examples

#get 'Crossdata' from package
data(Crossdata)
data2<-Crossdata
#
#get result of descriptive statistics with tau=the minimum of the largest observed time
Descriptive.stat(data2$time, data2$status, data2$group,tau="observed")
#get result of descriptive statistics with tau=the minimum of the largest event time
Descriptive.stat(data2$time, data2$status, data2$group,tau="event")

[Package ComparisonSurv version 1.1.1 Index]