% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/4_8_logrank_test.R
\name{logrank_test}
\alias{logrank_test}
\title{Log-rank test for internal calibration and external calibration results}
\usage{
logrank_test(object)
}
\arguments{
\item{object}{An object returned by \code{\link{calibrate}} or
\code{\link{calibrate_external}}.}
}
\description{
Log-rank test for internal calibration and external calibration results
}
\examples{
data("smart")
# Use the first 1000 samples as training data
# (the data used for internal validation)
x <- as.matrix(smart[, -c(1, 2)])[1:1000, ]
time <- smart$TEVENT[1:1000]
event <- smart$EVENT[1:1000]

# Take the next 1000 samples as external calibration data
# In practice, usually use data collected in other studies
x_new <- as.matrix(smart[, -c(1, 2)])[1001:2000, ]
time_new <- smart$TEVENT[1001:2000]
event_new <- smart$EVENT[1001:2000]

# Fit Cox model with lasso penalty
fit <- fit_lasso(
  x, survival::Surv(time, event),
  nfolds = 5, rule = "lambda.1se", seed = 11
)

# Internal calibration
cal.int <- calibrate(
  x, time, event,
  model.type = "lasso",
  alpha = 1, lambda = fit$lambda,
  method = "cv", nfolds = 5,
  pred.at = 365 * 9, ngroup = 3
)

logrank_test(cal.int)

# External calibration
cal.ext <- calibrate_external(
  fit, x, time, event,
  x_new, time_new, event_new,
  pred.at = 365 * 5, ngroup = 3
)

logrank_test(cal.ext)
}
