R/dataCancer.R

In xhaz: Excess Hazard Modelling Considering Inappropriate Mortality Rates

#' Simulated data with cause death information with non comparability bias in term of individuals expected hazard
#'
#' Simulated data
#'
#'
#' @docType data
#'
#' @usage data(dataCancer)
#'
#' @format This dataset contains the following variables:
#' \describe{
#'  \item{obs_time}{Follow-up time (months)}
#'  \item{obs_time_year}{Follow-up time (years)}
#'  \item{event}{Vital status}
#'  \item{age}{Age at diagnosis}
#'  \item{agegrp}{"<30" , "30_60" and  ">=60" age groups }
#'  \item{ageCentre}{centered age at diagnosis}
#'  \item{sexx}{Sex(Female,Male).}
#'  \item{immuno_trt}{Treatment group}
#'  \item{year_date}{date of diagnosis.}
#' }
#'
#'
#' @keywords datasets
#'
#' @references Goungounga JA, Touraine C, Graff\'eo N, Giorgi R;
#' CENSUR working survival group. Correcting for misclassification
#' and selection effects in estimating net survival in clinical trials.
#' BMC Med Res Methodol. 2019 May 16;19(1):104.
#' doi: 10.1186/s12874-019-0747-3. PMID: 31096911; PMCID: PMC6524224.
#' (\href{https://pubmed.ncbi.nlm.nih.gov/31096911/}{PubMed})
#'
#' Touraine C, Graff\'eo N, Giorgi R; CENSUR working survival group.
#' More accurate cancer-related excess mortality through correcting
#' background mortality for extra variables.
#' Stat Methods Med Res. 2020 Jan;29(1):122-136.
#' doi: 10.1177/0962280218823234. Epub 2019 Jan 23. PMID: 30674229.
#' (\href{https://pubmed.ncbi.nlm.nih.gov/30674229/}{PubMed})
#'
#' Mba RD, Goungounga JA, Graff\'eo N, Giorgi R; CENSUR working survival group.
#' Correcting inaccurate background mortality in excess hazard models
#' through breakpoints. BMC Med Res Methodol. 2020 Oct 29;20(1):268.
#' doi: 10.1186/s12874-020-01139-z. PMID: 33121436; PMCID: PMC7596976.
#' (\href{https://pubmed.ncbi.nlm.nih.gov/33121436/}{PubMed})
#'
#'
#' @examples
#' data(dataCancer)
#' summary(dataCancer)
"dataCancer"