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Crossover Design

Crossover Design

Crossover Design:

In randomized trials, a crossover design is one in which each subject receives each treatment, in succession. For example, subject 1 first receives treatment A, then treatment B, then treatment C. Subject 2 might receive treatment B, then treatment A, then treatment C. A crossover design has the advantage of eliminating individual subject differences from the overall treatment effect, thus enhancing statistical power. On the other hand, it is important in a crossover study that the underlying condition (say, a disease) not change over time, and that the effects of one treatment disappear before the next is applied. See also Parallel design.

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Courses Using This Term

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Clinical Trials – Pharmacokinetics and Bioequivalence
This course will teach you the statistical measurement and analysis methods relevant to the study of pharmacokinetics, dose-response modeling, and bioequivalence. The course provides practical work with actual/simulated clinical trial data.
Designing Valid Statistical Studies
This course will teach you how to design studies to produce statistically valid conclusions. Topics covered in the course include: overview of validity and bias, selection bias, information bias, and confounding bias.
Epidemiologic Statistics
This course will teach you the underlying concepts and methods of epidemiologic statistics: study designs, and measures of disease frequency and treatment effect.
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