R/data.R

In DevTreatRules: Develop Treatment Rules with Observational Data

#' Simulated dataset for package \code{DevTreatRule}
#'
#' Simulated observational dataset reporting an indicator of remaining relapse-free at the end of the study period (clinical outcome) along with 14 additional baseline characteristics that may influence either treatment assignment, response to treatment, or both.
#'
#' @format A data frame with 5000 rows and 15 variables:
#' \itemize{
#'   \item no_relapse: Binary indicator of remaining relapse-free at the end of study period
#'   \item intervention: Binary indicator of receiving treatment
#'   \item prognosis: Two-level factor variable indicating whether clinic-specific measure of prognosis is ``poor'' or `good''
#'   \item clinic: Ten-level factor variable indicating which of 10 clinics each observation attended
#'   \item age: Numeric variable indicating an individual's age (ranges from 40 to 65)
#'   \item gene_1: Numeric variable representing the expression level of specific gene_1
#'   \item gene_2: Numeric variable representing the expression level of specific gene_2
#'   \item gene_3: Numeric variable representing the expression level of specific gene_3
#'   \item gene_4: Numeric variable representing the expression level of specific gene_4
#'   \item gene_5: Numeric variable representing the expression level of specific gene_5
#'   \item gene_6: Numeric variable representing the expression level of specific gene_6
#'   \item gene_7: Numeric variable representing the expression level of specific gene_7
#'   \item gene_8: Numeric variable representing the expression level of specific gene_8
#'   \item gene_9: Numeric variable representing the expression level of specific gene_9
#'   \item gene_10: Numeric variable representing the expression level of specific gene_10
#' }
"obsStudyGeneExpressions"