survivalOutcome: Simulates a survival model for use with...

In supcluster: Supervised Cluster Analysis

Simulates a survival model for use with generate.cluster.data

Description

Given a vector of frailties, say x_1,..., this function generates a censored exponentially distributed random variable with rate equal to μ+β x_i. The censoring distribution is uniform with from f to f+a.

Usage

survivalOutcome(mu, beta, accrual, followUp)

Arguments

mu	The constant term μ
beta	The frailty effect β
accrual	The accrual time a, in a clinical study

followUp

The follow up time f in a clinical study

Value

A data frame is returned with two columns survival and censor

Author(s)

David A. Schoenfeld

See Also

coxLink,binaryOutcome,binaryLink

Examples

generatedData=generate.cluster.data(.25,npats=25,clusts=c(12,8),beta=c(-5,5),
                                    outcomeModel=survivalOutcome(0,1,1,1))
usBinary=supcluster(generatedData[[1]],outcome="outcome",
maxclusters=5,nstart=100,n=200,fbeta=FALSE,
linkLikelihood=coxLink(generatedData[[2]]))

supcluster documentation built on May 20, 2022, 1:07 a.m.