Literature DB >> 10070679

An issue of statistical analysis in controlled multi-centre studies: how shall we weight the centres?

Z Lin1.   

Abstract

When analysing data from a controlled multi-centre study, an important issue is how to weight each centre to assess the overall treatment effect. The unweighted analysis, which weights all centres equally, was recommended by many statisticians and the U.S. Food and Drug Administration, and has been routinely utilized as the primary statistical method for many phase III clinical studies in the pharmaceutical industry. The weighted analysis, which weights centres relative to the number of patients in them, was considered not meaningful in the presence of treatment-by-centre interaction. This paper demonstrates why we should hesitate to use the unweighted analysis as the primary statistical method of a study from a statistical power perspective. It also shows that the weighted analysis is meaningful, even in the presence of treatment-by-centre interaction, and that it is generally the preferred approach.

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Year:  1999        PMID: 10070679     DOI: 10.1002/(sici)1097-0258(19990228)18:4<365::aid-sim46>3.0.co;2-2

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


  5 in total

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Authors:  Daniel J Feaster; Susan Mikulich-Gilbertson; Ahnalee M Brincks
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2.  Design effect in multicenter studies: gain or loss of power?

Authors:  Emilie Vierron; Bruno Giraudeau
Journal:  BMC Med Res Methodol       Date:  2009-06-18       Impact factor: 4.615

3.  Optimal allocation of sample sizes to multicenter clinical trials.

Authors:  Dejian Lai; Kuang-Chao Chang; Mohammad H Rahbar; Lemuel A Moye
Journal:  J Biopharm Stat       Date:  2013       Impact factor: 1.051

4.  Comparing methods to estimate treatment effects on a continuous outcome in multicentre randomized controlled trials: a simulation study.

Authors:  Rong Chu; Lehana Thabane; Jinhui Ma; Anne Holbrook; Eleanor Pullenayegum; Philip James Devereaux
Journal:  BMC Med Res Methodol       Date:  2011-02-21       Impact factor: 4.615

5.  Design and analysis of stratified clinical trials in the presence of bias.

Authors:  Ralf-Dieter Hilgers; Martin Manolov; Nicole Heussen; William F Rosenberger
Journal:  Stat Methods Med Res       Date:  2019-05-10       Impact factor: 3.021

  5 in total

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