R/SimCml.R

In OptimalTiming: Optimal Timing Identification

#' Simulated data for CML patients
#'
#'
#' A dataset containing information of CML patients who have received transplant.
#' Both states before and after transplant are included in this data set.
#' This data set is used for illustration, so the magnitude of event times are out of clinical consideration.
#'
#' @docType data
#' @name SimCml
#' @format A data frame of 1777 rows (patients) on the following 14 variables:
#' \describe{
#' \item{cp1}{Time in months to chronic phase}
#' \item{cp1.s}{Indicator of the occurrence of chronic phase; 1=occur, 0=censored}
#' \item{ap}{Time in months to accelerated phase of CML}
#' \item{ap.s}{Indicator of the occurrence of accelerated phase; 1=occur, 0=censored}
#' \item{cp2}{Time in months to chronic phase after progression to advanced stage}
#' \item{cp2.s}{Indicator whether subject come back to chronic phase after progression to an advanced stage; 1=occur, 0=censored}
#' \item{bc}{Time in months to blast crisis phase of CML}
#' \item{bc.s}{Indicator of the occurrence of blast crisis phase; 1=occur, 0=censored}
#' \item{sct}{Time in months to receive transplant}
#' \item{sct.s}{Indicator whether patient receive transplant; 1=transplant, 0=no transplant}
#' \item{death}{Time in months to death}
#' \item{death.s}{Death indicator; 1=death, 0=censored}
#' \item{age}{0=age less than 50; 1=age larger than 50}
#' \item{sex}{1=female; 2=male}
#' }
#' @examples data(SimCml)

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