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. The methods used for this package include: (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>. (2) IPWE-based global test (hypotehsis test, power calculation) by Ogbagaber S.B., Karp J., Wahed A.S. (2016) <doi:10.1002/sim.6747>. (3) G estimates (pairwise comparison, power calculation) by Lavori R., Dawson P.W. (2012) <doi:10.1093/biostatistics/kxr016>. (4) IPW estimates (pairwise comparison, power calculation) by Murphy S.A. (2005) <doi:10.1002/sim.2022>. (5) SAMRT with adaptive randomization by Cheung Y.K. (2015) <doi:10.1111/biom.12258>.

Version: 1.0.0
Depends: R (≥ 3.5.0)
Imports: graphics, stats, MASS
Published: 2019-11-05
Author: Tony Zhong Bin Cheng Ying Kuen Cheung
Maintainer: Tony Zhong <xiaobo.zhong at mountsinai.org>
License: GPL-2
NeedsCompilation: no
CRAN checks: SMARTAR results

Downloads:

Reference manual: SMARTAR.pdf
Package source: SMARTAR_1.0.0.tar.gz
Windows binaries: r-devel: SMARTAR_1.0.0.zip, r-devel-gcc8: SMARTAR_1.0.0.zip, r-release: SMARTAR_1.0.0.zip, r-oldrel: SMARTAR_1.0.0.zip
OS X binaries: r-release: SMARTAR_1.0.0.tgz, r-oldrel: SMARTAR_1.0.0.tgz

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