R/betablocker500.R

In MDDC: Modified Detecting Deviating Cells Algorithm in Pharmacovigilance

#' FDA dataset for beta blockers with 500 adverse events
#'
#' @description A 501 by 9 data matrix of a contingency table processed from
#' the FDA Adverse Event Reporting System (FAERS) database. This dataset covers
#' a specific period from Q1 2021 to Q4 2023.
#'
#' @format A data matrix with 501 rows and 9 columns.
#'
#' @details A 501 by 9 data matrix of a contingency table from the FDA Adverse
#' Event Reporting System (FAERS) database, covering the period from Q1 2021 to
#'  Q4 2023.
#'
#' The 500 rows correspond to the AEs with the highest overall
#' frequency (row marginals) reported during the period, and 1 row for Other
#' AEs.
#' The reported AEs - "Off label use" and "Drug ineffective" have been excluded.
#'
#' The dataset includes the following 9 columns: Acebutolol, Atenolol,
#' Bisoprolol, Carvedilol, Metoprolol, Nadolol, Propranolol, Timolol, and Other.
#'
#' The marginal totals for each column are as follows:
#' Acebutolol: 62,164, Atenolol: 36,619, Bisoprolol: 134,297,
#' Carvedilol: 35,922, Metoprolol: 88,387, Nadolol: 11,191,
#' Propranolol: 56,444, Timolol: 16,077, Other: 76,926,859.
#'
#' Also refer to the supplementary material of:
#'
#' Ding, Y., Markatou, M., & Ball, R. (2020). An evaluation of statistical
#' approaches to postmarketing surveillance. Statistics in Medicine, 39(7),
#' 845-874
#'
#' for the data generation process. The quarterly files can be found in
#' \url{https://fis.fda.gov/extensions/FPD-QDE-FAERS/FPD-QDE-FAERS.html}.
#'
#' @examples
#' data(betablocker500)
#' head(betablocker500)
#'
"betablocker500"