The sample size for a clinical trial: A Bayesian–decision theoretic approach
- 5 March 2001
- journal article
- research article
- Published by Wiley in Statistics in Medicine
- Vol. 20 (6) , 841-858
- https://doi.org/10.1002/sim.703
Abstract
Using decision theory, what is an appropriate sample size for a clinical trial, with a binary endpoint? We present a program, suitable for actual planning, which, with some extensions, implements Canner's solution to this question. Examples with a discussion are given. Implications of a Bayesian approach are discussed. Bayesian and Neyman–Pearson approaches are compared. Copyright © 2001 John Wiley & Sons, Ltd.Keywords
This publication has 21 references indexed in Scilit:
- Designing a cost‐effective clinical trialStatistics in Medicine, 1995
- Decision making during a Phase III randomized controlled trialControlled Clinical Trials, 1994
- Bayesian Multistage Decision ProblemsThe Annals of Statistics, 1986
- Why Isn't Everyone a Bayesian?The American Statistician, 1986
- Loss weighting and the human cost of experimentationJournal of Chronic Diseases, 1985
- Selecting One of Two Treatments When the Responses are DichotomousJournal of the American Statistical Association, 1970
- A Model for Selecting One of Two Medical TreatmentsJournal of the American Statistical Association, 1963
- Sequential Medical TrialsJournal of the American Statistical Association, 1963