Literature DB >> 11252007

The sample size for a clinical trial: a Bayesian-decision theoretic approach.

J Halpern1, B W Brown, J Hornberger.   

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.

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Year:  2001        PMID： 11252007     DOI： 10.1002/sim.703

Source DB:  PubMed          Journal:  Stat Med        ISSN： 0277-6715            Impact factor:   2.373


  7 in total

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Authors:  Andrew R Willan
Journal:  Pharmacoeconomics       Date:  2011-11       Impact factor: 4.981

2.  Value of information and pricing new healthcare interventions.

Authors:  Andrew R Willan; Simon Eckermann
Journal:  Pharmacoeconomics       Date:  2012-06-01       Impact factor: 4.981

3.  Simple, defensible sample sizes based on cost efficiency.

Authors:  Peter Bacchetti; Charles E McCulloch; Mark R Segal
Journal:  Biometrics       Date:  2008-06       Impact factor: 2.571

4.  Using value-of-information methods when the disease is rare and the treatment is expensive--the example of hemophilia A.

Authors:  Lusine Abrahamyan; Andrew R Willan; Joseph Beyene; Marjorie Mclimont; Victor Blanchette; Brian M Feldman
Journal:  J Gen Intern Med       Date:  2014-08       Impact factor: 5.128

5.  Bayesian decision analysis for choosing between diagnostic/prognostic prediction procedures.

Authors:  John Kornak; Ying Lu
Journal:  Stat Interface       Date:  2011       Impact factor: 0.582

Review 6.  Decision-theoretic designs for small trials and pilot studies: A review.

Authors:  Siew Wan Hee; Thomas Hamborg; Simon Day; Jason Madan; Frank Miller; Martin Posch; Sarah Zohar; Nigel Stallard
Journal:  Stat Methods Med Res       Date:  2015-06-05       Impact factor: 3.021

7.  Value of information methods to design a clinical trial in a small population to optimise a health economic utility function.

Authors:  Michael Pearce; Siew Wan Hee; Jason Madan; Martin Posch; Simon Day; Frank Miller; Sarah Zohar; Nigel Stallard
Journal:  BMC Med Res Methodol       Date:  2018-02-08       Impact factor: 4.615
  7 in total

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