Investigating the assumption of homogeneity of treatment effects in clinical studies with application to meta-analysis

An important part of the evaluation of a therapy is an investigation of the assumption of homogeneity of its effect across pre‐defined subpopulations. In this paper we describe simple graphical presentations that could be used to assess the homogeneity of treatment effect and identify outliers. The...

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Bibliographic Details
Published inPharmaceutical statistics : the journal of the pharmaceutical industry Vol. 11; no. 1; pp. 49 - 56
Main Authors Julious, Steven A., Whitehead, Anne
Format Journal Article
LanguageEnglish
Published England Blackwell Publishing Ltd 01.01.2012
Wiley Subscription Services, Inc
Subjects
bootstrapping
clinical trials
Clinical Trials as Topic - methods
Humans
meta-analysis
Meta-Analysis as Topic
Models, Statistical
normal probability plots
Probability
Research Subjects
simulated envelopes
Treatment Outcome
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ISSN1539-1604
1539-1612
1539-1612
DOI10.1002/pst.494

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Summary:An important part of the evaluation of a therapy is an investigation of the assumption of homogeneity of its effect across pre‐defined subpopulations. In this paper we describe simple graphical presentations that could be used to assess the homogeneity of treatment effect and identify outliers. The emphasis in the paper is on meta‐analysis but the methods described can be generalized to other investigations. Copyright © 2011 John Wiley & Sons, Ltd.
Bibliography:Supporting info item
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ArticleID:PST494
ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
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ISSN:1539-1604
1539-1612
1539-1612
DOI:10.1002/pst.494