1st Edition

Meta-analysis of Binary Data Using Profile Likelihood

208 Pages
by Chapman & Hall

208 Pages
by Chapman & Hall

208 Pages
by Chapman & Hall

Providing reliable information on an intervention effect, meta-analysis is a powerful statistical tool for analyzing and combining results from individual studies. Meta-Analysis of Binary Data Using Profile Likelihood focuses on the analysis and modeling of a meta-analysis with individually pooled data (MAIPD). It presents a unifying approach to modeling a treatment effect in a meta-analysis of... Read more
Introduction. The Basic Model. Modeling Unobserved Heterogeneity. Modeling Covariate Information. Alternative Approaches. Incorporating Covariate Information and Unobserved Heterogeneity. Working with CAMAP. Estimation of Odds Ratio Using the Profile Likelihood. Quantification of Heterogeneity in an MAIPD. Scrapie in Europe: A Multicountry Surveillance Study as an MAIPD. Appendix. Bibliography. Index.

Biography

Bohning, Dankmar; Rattanasiri, Sasivimol; Kuhnert, Ronny