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This is a R package on implementing covariate adaptive randomization via Mahalanobis distance

Description

In randomized controlled trial (RCT), balancing covariate is often one of the most important concern. CARM package provides functions to balance the covariates and generate allocation sequence by covariate-adjusted Adaptive Randomization via Mahalanobis-distance (ARM) for RCT.

Installation

Directly download in R; for detailed information, please visit the website.

Publications

[1]Yichen Qin, Yang Li, Wei Ma, Haoyu Yang, and Feifang Hu (2022). Adaptive randomization via mahalanobis distance. Statistica Sinica. the website.

[2]Haoyu Yang, Yichen Qin, Fan Wang, Yang Li, Feifang Hu (2023). Balancing covariates in multi-arm trials via adaptive randomization. Computational Statistics & Data Analysis. the website.

[3]Fanglu Chen, Yang Li, Yichen Qin, Haoyu Yang (2023). Covariate-adjusted Randomization Design for Economic Experiment. China Journal of Econometrics. the website.

Languages

R100.0%

Contributors

Created July 22, 2024
Updated July 29, 2024
Fanglu-Chen/CARM | GitHunt