Literature DB >> 10474144

Meta-analysis by random effect modelling in generalized linear models.

M Aitkin1.   

Abstract

The meta-analysis of multi-centre trials can be based on either fixed or random effect models. This paper argues for the general use of random effect models, and illustrates the value of non-parametric maximum likelihood (NPML) analysis of such trials. The same general approach unifies administrative 'league table' analyses in epidemiological and other studies. Several examples of the NPML analysis are given, including a 70-centre trial.

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Year:  1999        PMID： 10474144     DOI： 10.1002/(sici)1097-0258(19990915/30)18:17/18<2343::aid-sim260>3.0.co;2-3

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


  8 in total

Review 1.  Volume of tobacco advertising in African American markets: systematic review and meta-analysis.

Authors:  Brian A Primack; James E Bost; Stephanie R Land; Michael J Fine
Journal:  Public Health Rep       Date:  2007 Sep-Oct       Impact factor: 2.792

2.  A new approach to outliers in meta-analysis.

Authors:  Rose Baker; Dan Jackson
Journal:  Health Care Manag Sci       Date:  2008-06

3.  Meta-analysis of Diagnostic Accuracy and ROC Curves with Covariate Adjusted Semiparametric Mixtures.

Authors:  Philipp Doebler; Heinz Holling
Journal:  Psychometrika       Date:  2014-11-01       Impact factor: 2.500

4.  Causal Inference for Meta-Analysis and Multi-Level Data Structures, with Application to Randomized Studies of Vioxx.

Authors:  Michael Sobel; David Madigan; Wei Wang
Journal:  Psychometrika       Date:  2016-07-07       Impact factor: 2.500

5.  Meta-analysis methods and models with applications in evaluation of cholesterol-lowering drugs.

Authors:  Ming-Hui Chen; Joseph G Ibrahim; Arvind K Shah; Jianxin Lin; Hui Yao
Journal:  Stat Med       Date:  2012-07-25       Impact factor: 2.373

6.  Understanding Variation in Sets of N-of-1 Trials.

Authors:  Artur Araujo; Steven Julious; Stephen Senn
Journal:  PLoS One       Date:  2016-12-01       Impact factor: 3.240

7.  A re-evaluation of random-effects meta-analysis.

Authors:  Julian P T Higgins; Simon G Thompson; David J Spiegelhalter
Journal:  J R Stat Soc Ser A Stat Soc       Date:  2009-01       Impact factor: 2.483

8.  PRIME--PRocess modelling in ImpleMEntation research: selecting a theoretical basis for interventions to change clinical practice.

Authors:  Anne E Walker; Jeremy Grimshaw; Marie Johnston; Nigel Pitts; Nick Steen; Martin Eccles
Journal:  BMC Health Serv Res       Date:  2003-12-19       Impact factor: 2.655
  8 in total

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