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Physical Sciences and Mathematics Commons

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Statistics and Probability

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University of Kentucky

2020

Analysis of covariance

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Full-Text Articles in Physical Sciences and Mathematics

Sample Size Calculation And Blinded Recalculation For Analysis Of Covariance Models With Multiple Random Covariates, Georg Zimmermann, Meinhard Kieser, Arne C. Bathke Jan 2020

Sample Size Calculation And Blinded Recalculation For Analysis Of Covariance Models With Multiple Random Covariates, Georg Zimmermann, Meinhard Kieser, Arne C. Bathke

Statistics Faculty Publications

When testing for superiority in a parallel-group setting with a continuous outcome, adjusting for covariates is usually recommended. For this purpose, the analysis of covariance is frequently used, and recently several exact and approximate sample size calculation procedures have been proposed. However, in case of multiple covariates, the planning might pose some practical challenges and pitfalls. Therefore, we propose a method, which allows for blinded re-estimation of the sample size during the course of the trial. Simulations confirm that the proposed method provides reliable results in many practically relevant situations, and applicability is illustrated by a real-life data example.