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CRAN: Package RARtrials

RARtrials: Response-Adaptive Randomization in Clinical Trials

Some response-adaptive randomization methods commonly found in literature are included in this package. These methods include the randomized play-the-winner rule for binary endpoint (Wei and Durham (1978) <doi:10.2307/2286290>), the doubly adaptive biased coin design with minimal variance strategy for binary endpoint (Atkinson and Biswas (2013) <doi:10.1201/b16101>, Rosenberger and Lachin (2015) <doi:10.1002/9781118742112>) and maximal power strategy targeting Neyman allocation for binary endpoint (Tymofyeyev, Rosenberger, and Hu (2007) <doi:10.1198/016214506000000906>) and RSIHR allocation with each letter representing the first character of the names of the individuals who first proposed this rule (Youngsook and Hu (2010) <doi:10.1198/sbr.2009.0056>, Bello and Sabo (2016) <doi:10.1080/00949655.2015.1114116>), A-optimal Allocation for continuous endpoint (Sverdlov and Rosenberger (2013) <doi:10.1080/15598608.2013.783726>), Aa-optimal Allocation for continuous endpoint (Sverdlov and Rosenberger (2013) <doi:10.1080/15598608.2013.783726>), generalized RSIHR allocation for continuous endpoint (Atkinson and Biswas (2013) <doi:10.1201/b16101>), Bayesian response-adaptive randomization with a control group using the Thall \& Wathen method for binary and continuous endpoints (Thall and Wathen (2007) <doi:10.1016/j.ejca.2007.01.006>) and the forward-looking Gittins index rule for binary and continuous endpoints (Villar, Wason, and Bowden (2015) <doi:10.1111/biom.12337>, Williamson and Villar (2019) <doi:10.1111/biom.13119>).

Version: 0.0.2 Depends: R (≥ 4.3), stats, pins Imports: Rdpack (≥ 0.7) Suggests: knitr, rmarkdown, testthat (≥ 3.0.0) Published: 2025-04-03 DOI: 10.32614/CRAN.package.RARtrials Author: Chuyao Xu [aut, cre], Thomas Lumley [aut, ths], Alain Vandal [aut, ths], Sofia S. Villar [cph], Kyle J. Wathen [cph] Maintainer: Chuyao Xu <cxu870 at aucklanduni.ac.nz> License: GPL (≥ 3) URL: https://github.com/yayayaoyaoyao/RARtrials NeedsCompilation: no Materials: README CRAN checks: RARtrials results Documentation: Downloads: Linking:

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