Incorporating treatment-covariate interaction in designing a covariate adjusted response adaptive allocation for binary response trials

Rahul Bhattacharya; Atanu Biswas

doi:10.3329/jsr.v57i12.72967

Incorporating treatment-covariate interaction in designing a covariate adjusted response adaptive allocation for binary response trials

Authors

Rahul Bhattacharya Department of Statistics, University of Calcutta, Kolkata, India
Atanu Biswas Applied Statistics Unit, Indian Statistical Institute, Kolkata, India

DOI:

https://doi.org/10.3329/jsr.v57i12.72967

Keywords:

Response adaptive design, Covariate adjusted allocation, Treatment-covariate interaction.

Abstract

Assuming binary treatment outcomes, a covariate adjusted response adaptive (CARA) design is developed for multi-arm clinical trials assuming the presence of treatment-covariate interaction. The proposed allocation skews the allocation dynamically according to the performance of the treatments and the covariate profile of any incoming subject. Relevant de- sign and precision based measures of the performance are further investigated empirically, which established the usefulness of the proposed allocation design over its competitors.

Journal of Statistical Research 2023, Vol. 57, No. 1-2, pp.21-33

Abstract
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Published

2024-05-12

How to Cite

Bhattacharya, R., & Biswas, A. (2024). Incorporating treatment-covariate interaction in designing a covariate adjusted response adaptive allocation for binary response trials . Journal of Statistical Research, 57(12), 21–33. https://doi.org/10.3329/jsr.v57i12.72967