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Meta-analysis of published data using a linear mixed-effects model
1Department of Preventive Medicine, University of Southern California, Los Angeles, 90033, USA.
Biometrics
|June 1, 1996
Abstract:
This paper describes the use of a linear mixed-effects regression model as a framework for the meta-analysis of published data. It generalizes the random-effects models used by DerSimonian and Laird (1986, Controlled Clinical Trials 7, 177-188) and Begg and Pilote (1991, Biometrics 47, 899-906), and describes the use of the model using examples from these papers and the data given by Tori et al.