| carat-package {carat} | R Documentation |
carat-package: Covariate-Adaptive Randomization for Clinical Trials
Description
Provides functions and a command-line user interface to generate allocation sequences for clinical trials with covariate-adaptive randomization methods. It currently supports six different covariate-adaptive randomization procedures, including stratified randomization, minimization, and a general family of designs proposed by Hu and Hu (2012) <doi:10.1214/12-AOS983>. Three hypothesis testing methods, all valid and robust under covariate-adaptive randomization are also included in the package to facilitate the inference for treatment effects under the included randomization procedures. Additionally, the package provides comprehensive and efficient tools for the performance evaluation and comparison of randomization procedures and tests based on various criteria.
Acknowledgement
This work was supported by the Fundamental Research Funds for the Central Universities, and the Research Funds of Renmin University of China [grant number 20XNA023].
Author(s)
Fuyi Tu fuyi.tu@ruc.edu.cn;Xiaoqing Ye ye_xiaoq@163.com; Wei Ma mawei@ruc.edu.cn; Feifang Hu feifang@gwu.edu.
References
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