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: |
0.0.1 |
Depends: |
R (≥ 4.3), stats, pins |
Imports: |
Rdpack (≥ 0.7) |
Suggests: |
knitr, rmarkdown, testthat (≥ 3.0.0) |
Published: |
2024-06-04 |
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:
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