Covariate Adjustment Strategy Increases Power in the Randomized Controlled Trial With Discrete-Time Survival Endpoints

Maryam Safarkhani and Mirjam Moerbeek
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Maryam Safarkhani: Utrecht University
Mirjam Moerbeek: Utrecht University

Journal of Educational and Behavioral Statistics, 2013, vol. 38, issue 4, 355-380

Abstract: In a randomized controlled trial, a decision needs to be made about the total number of subjects for adequate statistical power. One way to increase the power of a trial is by including a predictive covariate in the model. In this article, the effects of various covariate adjustment strategies on increasing the power is studied for discrete-time survival endpoints; the circumstances are examined under which the covariate adjustment results in a sufficient increase in power. Using a predictive covariate may increase the costs for each subject, so it is useful to quantify when using a covariate is a cost-efficient strategy. The results reveal that using a covariate is highly recommended if the costs for measuring the covariate are relatively small and the correlation with the outcome sufficiently high.

Keywords: randomized controlled trial; discrete-time survival endpoints; covariate adjustment strategy; simulation study; statistical power; cost-efficient strategy (search for similar items in EconPapers)
Date: 2013
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:sae:jedbes:v:38:y:2013:i:4:p:355-380

DOI: 10.3102/1076998612461832

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