title: Meta-analysis of published data using a linear mixed-effects model.
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.
authors.affiliation: Department of Preventive Medicine, University of Southern California, Los Angeles, 90033, USA.
authors.forename: D O
authors.initials: DO
authors.lastname: Stram
mesh_terms: D001699:Biometry; D002986:Clinical Trials as Topic / Q000706:statistics & numerical data; D003627:Data Interpretation, Statistical; D006801:Humans; D016014:Linear Models; D015201:Meta-Analysis as Topic