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: |
0.5.0 |
| Depends: |
R (≥ 4.0), ggplot2 |
| Imports: |
dplyr (≥ 1.0.0), tidyr (≥ 1.1.0), magrittr, purrr, rlang, stringr, forcats, cowplot, RColorBrewer, furrr (≥ 0.2.1), progressr, knitr, tibble |
| Suggests: |
testthat, devtools, pkgdown, spelling, haven, vdiffr, lintr |
| Published: |
2024-04-03 |
| 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 results |