Plan optimal sample size allocation and go/no-go decision rules for phase II/III drug development programs with time-to-event, binary or normally distributed endpoints when assuming fixed treatment effects or a prior distribution for the treatment effect, using methods from Kirchner et al. (2016) <doi:10.1002/sim.6624> and Preussler (2020). Optimal is in the sense of maximal expected utility, where the utility is a function taking into account the expected cost and benefit of the program. It is possible to extend to more complex settings with bias correction (Preussler S et al. (2020) <doi:10.1186/s12874-020-01093-w>), multiple phase III trials (Preussler et al. (2019) <doi:10.1002/bimj.201700241>), multi-arm trials (Preussler et al. (2019) <doi:10.1080/19466315.2019.1702092>), and multiple endpoints (Kieser et al. (2018) <doi:10.1002/pst.1861>).
Version: | 1.0.1 |
Depends: | R (≥ 3.5.0), doParallel, parallel, foreach, iterators |
Imports: | mvtnorm, cubature, msm, MASS, stats, progressr |
Suggests: | rmarkdown, knitr, testthat (≥ 3.0.0), covr, kableExtra, magrittr, devtools |
Published: | 2024-01-10 |
DOI: | 10.32614/CRAN.package.drugdevelopR |
Author: | Stella Erdmann [aut], Johannes Cepicka [aut], Marietta Kirchner [aut], Meinhard Kieser [aut], Lukas D. Sauer [aut, cre] |
Maintainer: | Lukas D. Sauer <sauer at imbi.uni-heidelberg.de> |
BugReports: | https://github.com/Sterniii3/drugdevelopR/issues |
License: | MIT + file LICENSE |
URL: | https://github.com/Sterniii3/drugdevelopR, https://sterniii3.github.io/drugdevelopR/ |
NeedsCompilation: | no |
Materials: | README NEWS |
CRAN checks: | drugdevelopR results |
Package source: | drugdevelopR_1.0.1.tar.gz |
Windows binaries: | r-devel: drugdevelopR_1.0.1.zip, r-release: drugdevelopR_1.0.1.zip, r-oldrel: drugdevelopR_1.0.1.zip |
macOS binaries: | r-release (arm64): drugdevelopR_1.0.1.tgz, r-oldrel (arm64): drugdevelopR_1.0.1.tgz, r-release (x86_64): drugdevelopR_1.0.1.tgz, r-oldrel (x86_64): drugdevelopR_1.0.1.tgz |
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