Dichotomizing a Continuous Baseline Covariate in Randomized Clinical Trials with Binary Outcomes

After a randomized clinical trial is conducted, it is often desired to dichotomize a continuous baseline covariate such that a subgroup of patients who may benefit more from the experimental treatment can be identified. We herein propose an approach to dichotomizing a continuous baseline covariate i...

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Bibliographic Details
Published in:Communications in statistics. Simulation and computation 2014-01, Vol.43 (2), p.390-399
Main Authors: Zhang, Boan, Lin, Yunzhi, Su, Zheng
Format: Article
Language:English
Subjects:
Baseline covariate
Binary outcome
Clinical trials
Computation
Computer simulation
Dichotomization
Estimates
Likelihood
Patients
Randomized clinical trial
Subgroups
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Summary:After a randomized clinical trial is conducted, it is often desired to dichotomize a continuous baseline covariate such that a subgroup of patients who may benefit more from the experimental treatment can be identified. We herein propose an approach to dichotomizing a continuous baseline covariate in randomized clinical trials by generalizing an existing likelihood-based approach for one-sample observational studies. Numerical results show that the proposed approach can accurately detect the cutpoint and is less likely to produce estimates that are markedly different from the true cutpoint value compared with the widely adopted minimum p-value approach.
ISSN:0361-0918
1532-4141
DOI:10.1080/03610918.2012.703748