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Meta-Analysis of Published Data Using a Linear Mixed-Effects Model
Daniel O. Stram
Vol. 52, No. 2 (Jun., 1996), pp. 536-544
Published by: International Biometric Society
Stable URL: http://www.jstor.org/stable/2532893
Page Count: 9
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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. (1992, Journal of the National Cancer Institute 84, 407-414).
Biometrics © 1996 International Biometric Society