Meta-analysis of Binary Data Using Profile Likelihood

Focuses on the analysis and modeling of a meta-analysis with individually pooled data. This book explores alternatives to the profile likelihood method, including approximated likelihood and multilevel models, and shows how the nonparametric profile maximum likelihood estimator can be computed via the EM algorithm with a gradient function update.