Meta-analysis of published data using a linear mixed-effects model

Biometrics. 1996 Jun;52(2):536-44.

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.

Publication types

  • Research Support, U.S. Gov't, P.H.S.

MeSH terms

  • Biometry
  • Clinical Trials as Topic / statistics & numerical data
  • Data Interpretation, Statistical
  • Humans
  • Linear Models*
  • Meta-Analysis as Topic*