% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/data.R
\docType{data}
\name{brain_cancer}
\alias{brain_cancer}
\title{Brain Cancer Survival Data}
\format{
A data frame with 500 rows and 16 columns:
\describe{
  \item{ID}{Patient identifier}
  \item{Gender}{Patient gender (1 = Male, 0 = Female)}
  \item{Age}{Age group (1 = Young, 2 = Middle, 3 = Old)}
  \item{Area}{Geographic area (1 = Urban, 0 = Rural)}
  \item{FH}{Family history of cancer (1 = Yes, 0 = No)}
  \item{CMH}{Comorbid history (1 = Yes, 0 = No)}
  \item{Grade}{Tumor grade (1 = I/II, 2 = III, 3 = IV)}
  \item{Surgery}{Surgical intervention (1 = Yes, 0 = No)}
  \item{Radiotherapy}{Radiotherapy treatment (1 = Yes, 0 = No)}
  \item{Chemotherapy}{Chemotherapy treatment (1 = Yes, 0 = No)}
  \item{Treatment}{Treatment type}
  \item{Morphology}{Tumor morphology}
  \item{Survstatus}{Survival status (1 = Event/Death, 0 = Censored)}
  \item{Survtime}{Survival time in months}
  \item{Types}{Tumor types classification}
  \item{Morphology1}{Alternative morphology classification}
}
}
\source{
Atomic Energy Cancer Hospital (NORI), Islamabad, Pakistan.
}
\usage{
brain_cancer
}
\description{
A comprehensive dataset of 500 brain cancer patients, including survival times,
censoring status, and multiple clinical covariates. This dataset was used to
demonstrate Accelerated Failure Time (AFT) regression and Cure-Rate models
using the Beta-Danish distribution.
}
\examples{
data(brain_cancer)
\donttest{
# Fit an AFT model using the brain cancer data
fit <- fit_bd_aft(survival::Surv(Survtime, Survstatus) ~ Age + Grade + Surgery,
                  data = brain_cancer, n_starts = 2)
summary(fit)
}
}
\keyword{datasets}
