SMARTAR: SMARTAR: Sequential Multiple Assignment Randomized Trial and...

In SMARTAR: Sequential Multiple Assignment Randomized Trial and Adaptive Randomization

Description

Primary data analysis for sequential multiple assignment randomization trial (SMART) and calibration tools for clinical trial planning purposes. It has several innovative features:

• it supports exploratory data analysis (EDA);

• it is the first R package that can construct and directly output simultaneous confidence intervals for ATS comparisons;

• it provides the results of sample size calculation based on varying published statistical methods in two different fashions, the global test and the pairwise test fashion.

Details

As of right now, SMARTAR exports five major functions:

• seqmeans - design diagram, descriptive statistics, and summarized graphs at sequence level;

• atsmeans - descriptive statistics and summarized graphs at adaptive treatment strategy level;

• smartest - results of global test and pairwise tests; output simultaneous CIs for ATS comparison;

• smartsize - results of sample size calculation;

• getncp - value of non-centralized parameter for the chi-square distribution.

Author(s)

Maintainer: Tony Zhong [e-mail]

Authors:

• Tony Zhong [e-mail]

• Xinru Wang [e-mail]

• Bin Cheng [e-mail]

• Ying Kuen Cheung [e-mail]

See Also

Useful links:

• https://CRAN.R-project.org/package=SMARTAR

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

• Report bugs at: https://github.com/tonizhong/SMARTAR/issues/

SMARTAR documentation built on July 31, 2020, 1:06 a.m.