Document Detail


Simple Bayesian analysis in clinical trials: a tutorial.
MedLine Citation:
PMID:  8001356     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
In this tutorial paper we give a simple Bayesian analysis of data that arise in clinical trials. We consider the case when there are two treatment groups and the response in each group can be assumed to be binomially distributed. We also assume that prior beliefs about the rate parameter in each group can be adequately expressed by a Beta distribution. Using such a model approximate posterior inferences can then be made about the odds ratio between the two groups. We illustrate this methodology by analyzing a randomized trial to assess the benefits of treating patients with carcinoma of the pelvic region (rectum, bladder, colon, cervix) using high-energy fast neutrons as opposed to conventional megavoltage x-rays (photons). In this trial there was prior information about the relative efficacy of neutron therapy based on the beliefs of 10 clinicians. Some of the deficiencies of this simple approach are high-lighted and other approaches to analysis indicated. The paper facilitates practical consideration of a Bayesian approach without the complexities that a fuller analysis necessitates.
Authors:
K Abrams; D Ashby; D Errington
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Publication Detail:
Type:  Clinical Trial; Comparative Study; Journal Article; Randomized Controlled Trial; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Controlled clinical trials     Volume:  15     ISSN:  0197-2456     ISO Abbreviation:  Control Clin Trials     Publication Date:  1994 Oct 
Date Detail:
Created Date:  1995-01-24     Completed Date:  1995-01-24     Revised Date:  2007-11-15    
Medline Journal Info:
Nlm Unique ID:  8006242     Medline TA:  Control Clin Trials     Country:  UNITED STATES    
Other Details:
Languages:  eng     Pagination:  349-59     Citation Subset:  IM    
Affiliation:
Department of Statistics and Computational Mathematics, University of Liverpool, United Kingdom.
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MeSH Terms
Descriptor/Qualifier:
Bayes Theorem*
Clinical Trials as Topic / methods*,  statistics & numerical data
Humans
Models, Statistical*
Neutrons / therapeutic use
Odds Ratio
Pelvic Neoplasms / mortality,  radiotherapy*
Photons / therapeutic use
Survival Analysis
Treatment Outcome

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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