R/sedative1000.R

In MDDC: Modified Detecting Deviating Cells Algorithm in Pharmacovigilance

#' FDA dataset for sedatives with 1000 adverse events
#'
#' @description A 1001 by 11 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 1001 rows and 11 columns.
#'
#' @details A 1001 by 11 data matrix of a contingency table from the FDA Adverse
#' Event Reporting System (FAERS) database, covering a specified period
#' from Q1 2021 to Q4 2023.
#'
#' The 1000 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 10 columns: Clonazepam,
#' Dexmedetomidine, Diazepam, Diphenhydramine, Doxepin, Lorazepam,
#' Midazolam, Mirtazapine, Nitrazepam, Temazepam, and an Other column.
#'
#' The marginal totals for each column are as follows:
#' Clonazepam: 110,453, Dexmedetomidine: 4,262, Diazepam: 74,859
#' Diphenhydramine: 134,65, Doxepin: 11,795, Lorazepam: 101,969
#' Midazolam: 26,264, Mirtazapine: 54,273, Nitrazepam: 3,473,
#' Temazepam: 20,523, Other: 77,487,518
#'
#' Also refer to 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(sedative1000)
#' head(sedative1000)
#'
"sedative1000"