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Predict the course of clinical trial with a time-to-event endpoint for both two-arm and single-arm design. Each of the four primary study design parameters (the expected number of observed events, the number of subjects enrolled, the observation time, and the censoring parameter) can be derived analytically given the other three parameters. And the simulation datasets can be generated based on the design settings.
| Version: | 0.0.4 |
| Suggests: | knitr, rmarkdown, testthat (≥ 3.0.0), R.rsp |
| Published: | 2024-11-25 |
| DOI: | 10.32614/CRAN.package.ClinTrialPredict |
| Author: | Yang Ding [aut, cre] |
| Maintainer: | Yang Ding <tomding.biostat at gmail.com> |
| License: | MIT + file LICENSE |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| CRAN checks: | ClinTrialPredict results |
| Reference manual: | ClinTrialPredict.pdf |
| Vignettes: |
R packages: Static PDF and HTML vignettes (source) |
| Package source: | ClinTrialPredict_0.0.4.tar.gz |
| Windows binaries: | r-devel: ClinTrialPredict_0.0.4.zip, r-release: ClinTrialPredict_0.0.4.zip, r-oldrel: ClinTrialPredict_0.0.4.zip |
| macOS binaries: | r-release (arm64): ClinTrialPredict_0.0.4.tgz, r-oldrel (arm64): ClinTrialPredict_0.0.4.tgz, r-release (x86_64): ClinTrialPredict_0.0.4.tgz, r-oldrel (x86_64): ClinTrialPredict_0.0.4.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.