% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/data-documentation.R
\docType{data}
\name{ovarian_truth}
\alias{ovarian_truth}
\title{Ground-truth quantities for the semi-synthesised ovarian dataset}
\format{
A data frame with one row per patient in \code{\link{ovarian}}
and the following columns:
\describe{
\item{true_log_T}{Numeric. True (uncensored) survival time on the
log scale.}
\item{true_T}{Numeric. True (uncensored) survival time on the
original scale.}
\item{true_mu}{Numeric. True prognostic function \eqn{\mu(x)}
(expected log survival time at the reference treatment).}
\item{true_tau}{Numeric. True conditional average treatment effect
\eqn{\tau(x)} on the log-survival scale.}
\item{true_propensity}{Numeric. True propensity for the treated
group (carboplatin) used to simulate the observed assignment.}
}
}
\usage{
ovarian_truth
}
\description{
The simulated quantities that correspond to the
\code{\link{ovarian}} dataset. Because the ovarian outcomes and
treatment assignment are generated from a known data-generating
process, the underlying potential outcomes, prognostic function,
conditional treatment effect, and propensity score are available for
validating estimators of treatment effects under right- and
interval-censored survival.
}
\examples{
data(ovarian)
data(ovarian_truth)
stopifnot(nrow(ovarian) == nrow(ovarian_truth))
# True (population) average treatment effect on the log-survival scale:
mean(ovarian_truth$true_tau)
}
\seealso{
\code{\link{ovarian}} for the observed semi-synthesised data.
}
\keyword{datasets}
