Literature DB >> 14653352

Bayesian techniques for sample size determination in clinical trials: a short review.

Hamid Pezeshk1.   

Abstract

The aim of this paper is to review some key techniques of Bayesian methods of sample size determination. The approach is to cover a small number of simple problems, such as estimating the mean of a normal distribution. The methods considered are in two groups: inferential and decision theoretic. In the inferential Bayesian methods of sample size determination, we are solely concerned with the inference about the parameter(s) of interest. The fully Bayesian or decision theoretic approach treats the problem as a decision problem and employs a loss or utility function.

Mesh:

Year:  2003        PMID: 14653352     DOI: 10.1191/0962280203sm345oa

Source DB:  PubMed          Journal:  Stat Methods Med Res        ISSN: 0962-2802            Impact factor:   3.021


  12 in total

Review 1.  Sample size determination for cost-effectiveness trials.

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.  Comparison of Bayesian Sample Size Criteria: ACC, ALC, and WOC.

Authors:  Jing Cao; J Jack Lee; Susan Alber
Journal:  J Stat Plan Inference       Date:  2009-12-01       Impact factor: 1.111

4.  A two-stage Bayesian design with sample size reestimation and subgroup analysis for phase II binary response trials.

Authors:  Wei Zhong; Joseph S Koopmeiners; Bradley P Carlin
Journal:  Contemp Clin Trials       Date:  2013-04-11       Impact factor: 2.226

5.  Bayesian average error-based approach to sample size calculations for hypothesis testing.

Authors:  Eric M Reyes; Sujit K Ghosh
Journal:  J Biopharm Stat       Date:  2013-05       Impact factor: 1.051

6.  Principles of Good Clinical Trial Design.

Authors:  Ming-Wen An; Quyen Duong; Jennifer Le-Rademacher; Sumithra J Mandrekar
Journal:  J Thorac Oncol       Date:  2020-05-15       Impact factor: 15.609

Review 7.  Choosing the target difference ('effect size') for a randomised controlled trial - DELTA2 guidance protocol.

Authors:  Jonathan A Cook; Steven A Julious; William Sones; Joanne C Rothwell; Craig R Ramsay; Lisa V Hampson; Richard Emsley; Stephen J Walters; Catherine Hewitt; Martin Bland; Dean A Fergusson; Jesse A Berlin; Doug Altman; Luke D Vale
Journal:  Trials       Date:  2017-06-12       Impact factor: 2.279

8.  DELTA2 guidance on choosing the target difference and undertaking and reporting the sample size calculation for a randomised controlled trial.

Authors:  Jonathan A Cook; Steven A Julious; William Sones; Lisa V Hampson; Catherine Hewitt; Jesse A Berlin; Deborah Ashby; Richard Emsley; Dean A Fergusson; Stephen J Walters; Edward C F Wilson; Graeme MacLennan; Nigel Stallard; Joanne C Rothwell; Martin Bland; Louise Brown; Craig R Ramsay; Andrew Cook; David Armstrong; Doug Altman; Luke D Vale
Journal:  BMJ       Date:  2018-11-05

9.  DELTA2 guidance on choosing the target difference and undertaking and reporting the sample size calculation for a randomised controlled trial.

Authors:  Jonathan A Cook; Steven A Julious; William Sones; Lisa V Hampson; Catherine Hewitt; Jesse A Berlin; Deborah Ashby; Richard Emsley; Dean A Fergusson; Stephen J Walters; Edward C F Wilson; Graeme Maclennan; Nigel Stallard; Joanne C Rothwell; Martin Bland; Louise Brown; Craig R Ramsay; Andrew Cook; David Armstrong; Doug Altman; Luke D Vale
Journal:  Trials       Date:  2018-11-05       Impact factor: 2.279

10.  Sample size and classification error for Bayesian change-point models with unlabelled sub-groups and incomplete follow-up.

Authors:  Simon R White; Graciela Muniz-Terrera; Fiona E Matthews
Journal:  Stat Methods Med Res       Date:  2016-08-08       Impact factor: 3.021

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