Adaptive Optimal Two Treatment Crossover Designs with Binary Endpoint

Wang, Jing

Adaptive Optimal Two Treatment Crossover Designs with Binary Endpoint

https://hdl.handle.net/10027/19355
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posted on 2015-02-27, 00:00 authored by Jing Wang

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.

History

Language

en

Advisor

Hedayat, Samad

Department

Mathematics, Statistics, and Computer Science

Degree Grantor

University of Illinois at Chicago

Degree Level

Doctoral

Committee Member

Yang, Min Yang, Jie Wang, Jing Chen, Hua Yun

Submitted date

2014-12

Issue date

2015-02-27

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Keywords

Adaptive optimal design crossover design binary endpoint sample size reduction statistical power

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Adaptive Optimal Two Treatment Crossover Designs with Binary Endpoint

History

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