Jing Wang : Adaptive Optimal Two-Treatment Crossover Designs with Binary Endpoint

Posted by Ryan Martin , part of the Graduate Statistics Seminar.

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April 29, 2014, 3:30 p.m.

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SEO 636

Abstract

We develop a two-stage adaptive optimal (AO) two-treatment crossover design with binary endpoint; compared with the popular Internal Pilot (IP) design, the AO design reduces the sample size as well as maintains the power of hypothesis testing.