Tracking accrual in clinical trials is important for trial success. If accrual is too slow, the trial will take too long and be too expensive. If accrual is much faster than expected, time sensitive tasks such as the writing of statistical analysis plans might need to be rushed. 'accrualPlot' provides functions to aid the tracking of accrual and predict when a trial will reach it's intended sample size.
Version: 1.0.7 Depends: lubridate, R (≥ 2.10) Imports: dplyr, ggplot2, grid, magrittr, purrr, rlang Suggests: knitr, markdown, patchwork, rmarkdown, testthat, vdiffr Published: 2022-08-16 DOI: 10.32614/CRAN.package.accrualPlot Author: Lukas Bütikofer [cre, aut], Alan G. Haynes [aut] Maintainer: Lukas Bütikofer <lukas.buetikofer at ctu.unibe.ch> BugReports: https://github.com/CTU-Bern/accrualPlot/issues License: MIT + file LICENSE URL: https://github.com/CTU-Bern/accrualPlot, https://ctu-bern.github.io/accrualPlot/ NeedsCompilation: no Materials: NEWS In views: ClinicalTrials CRAN checks: accrualPlot results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=accrualPlot to link to this page.
RetroSearch is an open source project built by @garambo | Open a GitHub Issue
Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo
HTML:
3.2
| Encoding:
UTF-8
| Version:
0.7.4