carat: An R Package for Covariate-Adaptive Randomization in Clinical Trials
Dublin Core
Title
carat: An R Package for Covariate-Adaptive Randomization in Clinical Trials
Subject
carat, clinical trial, covariate-adaptive randomization, hypothesis test, commandline interface, power analysis, R, Rcpp, OpenMP.
Description
Covariate-adaptive randomization is gaining popularity in clinical trials because they
enable the generation of balanced allocations with respect to covariates. Over the past
decade, substantial progress has been made in both new innovative randomization procedures and the theoretical properties of associated inferences. However, these results
are scattered across the literature, and a single tool kit does not exist for use by clinical
trial practitioners and researchers to conduct and evaluate these methods. The R package
carat is proposed to address this need. It facilitates a broad range of covariate-adaptive
randomization and testing procedures, such as the most common and classical methods,
and also reflects recent developments in the field. The package contains comprehensive
evaluation and comparison tools for use in both randomization procedures and tests. This
enables power analysis to be conducted to assist the planning of a covariate-adaptive clinical trial. The package also implements a command-line interface to allow for an interactive
allocation procedure, which is typically the case in real-world applications. In this paper,
the features and functionalities of carat are presented
enable the generation of balanced allocations with respect to covariates. Over the past
decade, substantial progress has been made in both new innovative randomization procedures and the theoretical properties of associated inferences. However, these results
are scattered across the literature, and a single tool kit does not exist for use by clinical
trial practitioners and researchers to conduct and evaluate these methods. The R package
carat is proposed to address this need. It facilitates a broad range of covariate-adaptive
randomization and testing procedures, such as the most common and classical methods,
and also reflects recent developments in the field. The package contains comprehensive
evaluation and comparison tools for use in both randomization procedures and tests. This
enables power analysis to be conducted to assist the planning of a covariate-adaptive clinical trial. The package also implements a command-line interface to allow for an interactive
allocation procedure, which is typically the case in real-world applications. In this paper,
the features and functionalities of carat are presented
Creator
Wei Ma
Source
https://www.jstatsoft.org/article/view/v107i02
Publisher
Renmin University
of China
of China
Date
September 2023
Contributor
Fajar Bagus W
Format
PDF
Language
English
Type
Text
Files
Collection
Citation
Wei Ma, “carat: An R Package for Covariate-Adaptive Randomization in Clinical Trials,” Repository Horizon University Indonesia, accessed April 19, 2025, https://repository.horizon.ac.id/items/show/8305.