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) . \n (2) IPWE-based global test (hypotehsis test, power calculation) by Ogbagaber S.B., Karp J., Wahed A.S. (2016) . \n (3) G estimates (pairwise comparison, power calculation) by Lavori R., Dawson P.W. (2012) . \n (4) IPW estimates (pairwise comparison, power calculation) by Murphy S.A. (2005) . \n (5) SAMRT with adaptive randomization by Cheung Y.K. (2015) .


News

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("SMARTAR")

1.1.0 by Tony Zhong, 13 days ago


https://github.com/tonizhong/SMARTAR/


Report a bug at https://github.com/tonizhong/SMARTAR/issues/


Browse source code at https://github.com/cran/SMARTAR


Authors: Tony Zhong <[email protected]> \n Xinru Wang <[email protected]> \n Bin Cheng <[email protected]> \n Ying Kuen Cheung <[email protected]>


Documentation:   PDF Manual  


MIT + file LICENSE license


Imports graphics, MASS, stats

Suggests knitr, rmarkdown, testthat


See at CRAN