Sample size calculation based on efficient unconditional tests for clinical trials with historical controls

Document Type

Article

Publication Date

1-1-2016

Publication Title

Journal of Biopharmaceutical Statistics

Volume

26

Issue

2

First page number:

240

Last page number:

249

Abstract

In historical clinical trials, the sample size and the number of success in the control group are often considered as given. The traditional method for sample size calculation is based on an asymptotic approach developed by Makuch and Simon (1980). Exact unconditional approaches may be considered as alternative to control for the type I error rate where the asymptotic approach may fail to do so. We provide the sample size calculation using an efficient exact unconditional testing procedure based on estimation and maximization. The sample size using the exact unconditional approach based on estimation and maximization is generally smaller than those based on the other approaches. © 2016 Taylor & Francis.

Keywords

E+M approach; Exact test; historical clinical trial; sample size; unconditional test

Language

English

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