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SMARTAR: Sequential Multiple Assignment Randomized Trial and Adaptive Randomization
Primary data analysis for sequential multiple assignment randomization trial (SMART) and calibration tools for clinical trial planning purposes. \n The methods used for this package include: \n (1) Likelihood-based global test (hypothesis test, power calculation) by in Zhong X., Cheng, B., Qian M., Cheung Y.K. (2019) <doi: 10.1016/j.cct.2019.105830>. \n (2) IPWE-based global test (hypotehsis test, power calculation) by Ogbagaber S.B., Karp J., Wahed A.S. (2016) <doi:10.1002/sim.6747>. \n (3) G estimates (pairwise comparison, power calculation) by Lavori R., Dawson P.W. (2012) <doi: 10.1093/biostatistics/kxr016>. \n (4) IPW estimates (pairwise comparison, power calculation) by Murphy S.A. (2005) <doi: 10.1002/sim.2022>. \n (5) SAMRT with adaptive randomization by Cheung Y.K. (2015) <doi: 10.1111/biom.12258>.
Getting started
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Package details |
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| Author | Tony Zhong <xiaobo.zhong@mountsinai.org> \n Xinru Wang <xw2676@cumc.columbia.edu> \n Bin Cheng <bc2159@cumc.columbia.edu> \n Ying Kuen Cheung <yc632@cumc.columbia.edu> |
| Maintainer | Tony Zhong <xiaobo.zhong@mountsinai.org> |
| License | MIT + file LICENSE |
| Version | 1.1.0 |
| URL | https://github.com/tonizhong/SMARTAR/ |
| Package repository | View on CRAN |
| Installation |
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