speff2trial: Semiparametric Efficient Estimation for a Two-Sample Treatment Effect

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
DOI: 10.32614/CRAN.package.speff2trial
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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