swh:1:snp:813359ba77493c9d5dd1abad9a1f53490a8abf57
Tip revision: 60fafa14b471f505570c2c85e69cb2cf2e495536 authored by Torsten Hothorn on 15 June 2005, 00:00:00 UTC
version 0.2-13
version 0.2-13
Tip revision: 60fafa1
ocarcinoma.Rd
\name{ocarcinoma}
\alias{ocarcinoma}
\docType{data}
\title{ Ovarian Carcinoma }
\description{
Survival times of 35 women suffering ovarian carcinoma at stadium II and
IIA.
}
\usage{data(ocarcinoma)}
\format{
A data frame with 35 observations on the following 3 variables.
\describe{
\item{time}{time in days.}
\item{event}{censoring indicator: \code{FALSE} means
censored, \code{TRUE} is an event.}
\item{stadium}{a factor with levels \code{II} and \code{IIA}. }
}
}
\details{
Data from Fleming et al. (1980, 1984), reanalysed in Schumacher and
Schulgen (2002).
}
\source{
Thomas R. Fleming, Judith R. O'Fallon, Peter C. O'Brien & David
P. Harrington (1980),
Modified Kolmogorov-Smirnov test procedures with applications to
arbitrarily censored data. \emph{Biometrics}, \bold{36}, 607--625.
Thomas R. Fleming, Stephanie J. Green & David P. Harrington (1984),
Considerations of monitoring and evaluating treatment effects in clinical
trials. \emph{Controlled Clinical Trials}, \bold{5}, 55--66.
}
\references{
Martin Schumacher & Gabi Schulgen (2002), \emph{Methodik klinischer
Studien: methodische Grundlagen der Planung, Durchf\"uhrung und
Auswertung.} Springer, Heidelberg.
}
\examples{
data(ocarcinoma, package = "coin")
### logrank test with exact two-sided p-value
lrt <- surv_test(Surv(time, event) ~ stadium, data = ocarcinoma,
distribution = "exact")
### the test statistic
statistic(lrt)
### p-value
pvalue(lrt)
}
\keyword{datasets}