Adaptive Optimal Two Treatment Crossover Designs with Binary Endpoint

by Jing Wang

Institution: University of Illinois – Chicago
Year: 2015
Keywords: Adaptive optimal design; crossover design; binary endpoint; sample size reduction; statistical power
Record ID: 2061638
Full text PDF: http://hdl.handle.net/10027/19355


We develop two-stage two-treatment adaptive optimal (AO) crossover designs with binary endpoint and efficiently reduce the sample size as well as maintain the statistical power.