Meta-analysis of Binary Data Using Profile Likelihood

Discover the intricate world of statistical analysis with Meta-analysis of Binary Data Using Profile Likelihood by Dankmar Böhning. Published by Taylor & Francis Inc in 2008, this hardback edition spans 206 pages and delves into the analysis and modeling of meta-analysis with individually pooled data. This essential resource explores alternatives to the profile likelihood method, including approximated likelihood and multilevel models. Readers will learn how to compute the nonparametric profile maximum likelihood estimator using the EM algorithm with a gradient function update. Ideal for professionals and researchers in medicine, statistics, and social sciences, this book offers valuable insights into meta-analysis techniques and statistical methods. Enhance your understanding of evaluation in medical research and statistical analysis with this comprehensive guide.