Monitoring of Adverse Event (AE) reporting in clinical trials is important for patient safety. Sites that are under-reporting AEs can be detected using Bootstrap-based simulations that simulate overall AE reporting. Based on the simulation an AE under-reporting probability is assigned to each site in a given trial (Koneswarakantha 2021 <doi:10.1007/s40264-020-01011-5>).
Version: 0.7.0 Depends: R (≥ 4.0), ggplot2 Imports: dplyr (≥ 1.1.0), tidyr (≥ 1.1.0), magrittr, purrr, rlang, stringr, forcats, cowplot, RColorBrewer, furrr (≥ 0.2.1), progressr, knitr, tibble, dbplyr Suggests: testthat, devtools, pkgdown, spelling, haven, vdiffr, lintr, DBI, duckdb, ggExtra Published: 2025-04-09 DOI: 10.32614/CRAN.package.simaerep Author: Bjoern Koneswarakantha [aut, cre, cph], F. Hoffmann-La Roche Ltd [cph] Maintainer: Bjoern Koneswarakantha <bjoern.koneswarakantha at roche.com> License: MIT + file LICENSE URL: https://openpharma.github.io/simaerep/, https://github.com/openpharma/simaerep/ NeedsCompilation: no Language: en-US Materials: README NEWS CRAN checks: simaerep resultsRetroSearch is an open source project built by @garambo | Open a GitHub Issue
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