AbstractsEngineering
Adaptive Optimal Two Treatment Crossover Designs with Binary Endpoint
| Institution: | University of Illinois – Chicago |
|---|---|
| Department: | |
| 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 |
Abstract
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.
