https://github.com/cran/clinfun
Tip revision: 9ef289b3d571cf9efd9d6e67a67b72255e6ae181 authored by Venkatraman E. Seshan on 04 November 2010, 00:00:00 UTC
version 0.9.1
version 0.9.1
Tip revision: 9ef289b
coxphCPE.Rd
\name{coxphCPE}
\title{Gonen \& Heller Concordance Probability Estimate}
\alias{coxphCPE}
\keyword{survival}
\description{
Calculates the Concordance Probability Estimate for a Cox model.
}
\usage{
coxphCPE(phfit)
}
\arguments{
\item{phfit}{output from a proportional hazards fit.}
}
\value{
coxphCPE returns a vector with CPE, smooth.CPE & se.CPE which are the
estimate, the smoothed estimate and its standard error respectively.
}
\examples{
\dontrun{ library(survival)
data(pbc)
pbcfit <- coxph(Surv(time, status==2) ~ trt + log(copper), pbc,
subset=(trt>0 & copper>0))
coxphCPE(pbcfit)
}}
\references{
Gonen M and Heller G. (2005) Concordance probability and discriminatory
power in proportional hazards regression. \emph{Biometrika} 92, 965-970.
}