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Performs estimation and testing of the treatment effect in a 2-group randomized clinical trial with a quantitative, dichotomous, or right-censored time-to-event endpoint. The method improves efficiency by leveraging baseline predictors of the endpoint. The inverse probability weighting technique of Robins, Rotnitzky, and Zhao (JASA, 1994) is used to provide unbiased estimation when the endpoint is missing at random.
| Version: | 1.0.5 |
| Depends: | stats, leaps, survival |
| Published: | 2022-05-31 |
| Author: | Michal Juraska, with contributions from Peter B. Gilbert, Xiaomin Lu, Min Zhang, Marie Davidian, and Anastasios A. Tsiatis |
| Maintainer: | Michal Juraska <mjuraska at fredhutch.org> |
| BugReports: | https://github.com/mjuraska/speff2trial/issues |
| License: | GPL-2 |
| URL: | https://github.com/mjuraska/speff2trial |
| NeedsCompilation: | no |
| Materials: | README |
| In views: | ClinicalTrials |
| CRAN checks: | speff2trial results |
| Reference manual: | speff2trial.pdf |
| Package source: | speff2trial_1.0.5.tar.gz |
| Windows binaries: | r-devel: speff2trial_1.0.5.zip, r-release: speff2trial_1.0.5.zip, r-oldrel: speff2trial_1.0.5.zip |
| macOS binaries: | r-release (arm64): speff2trial_1.0.5.tgz, r-oldrel (arm64): speff2trial_1.0.5.tgz, r-release (x86_64): speff2trial_1.0.5.tgz, r-oldrel (x86_64): speff2trial_1.0.5.tgz |
| Old sources: | speff2trial archive |
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These binaries (installable software) and packages are in development.
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