Capitum Selectum, Crossover Studies with Continuous Variables: Power Analysis

Ton J. Cleophas, Aeilko H. Zwinderman and Toine F. Cleophas
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Ton J. Cleophas: European Interuniversity College of Pharmaceutical Medicine Lyon, Dept Medicine Albert Schweitzer Hospital Dordrecht
Aeilko H. Zwinderman: Dept Statistics Academic Hospital Leiden
Toine F. Cleophas: Technical University

Chapter Chapter 10 in Statistics Applied to Clinical Trials, 2000, pp 80-87 from Springer

Abstract: Abstract The crossover design is a sensitive means of determining the efficacy of new drugs because it eliminates between subject-variability. However, when the response in the first period carries on into the second (carryover effects) or when time factors can not be kept constant in a lengthy crossover (time effects), the statistical power of testing may be jeopardized. We recently demonstrated that the crossover design with binary variables is a powerful method in spite of such factors as carryover effects. Power analysis of crossover trials with continuous variables have not been explicitly studied.

Keywords: Chronic Obstructive Pulmonary Disease; Time Effect; Crossover Study; Carryover Effect; Crossover Design (search for similar items in EconPapers)
Date: 2000
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DOI: 10.1007/978-94-015-9508-7_10

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