Generalized linear mixed models for meta-analysis.

  title={Generalized linear mixed models for meta-analysis.},
  author={Robert W. Platt and Brian G Leroux and Norman Breslow},
  journal={Statistics in medicine},
  volume={18 6},
We examine two strategies for meta-analysis of a series of 2 x 2 tables with the odds ratio modelled as a linear combination of study level covariates and random effects representing between-study variation. Penalized quasi-likelihood (PQL), an approximate inference technique for generalized linear mixed models, and a linear model fitted by weighted least squares to the observed log-odds ratios are used to estimate regression coefficients and dispersion parameters. Simulation results… CONTINUE READING

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