Meta-Analysis of Binary Data Using Profile Likelihood

ISBN-13: 9780367387570 / Angielski / Miękka / 2019 / 208 str.

Dankmar Bohning; Sasivimol Rattanasiri; Ronny Kuhnert

Opis

Illustrating the use of meta-analysis in many real-world trial examples, this work focuses on the analysis and modeling of a meta-analysis with individually pooled data (MAIPD). It 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. The authors explain how to test for and determine the amount of heterogeneity in an MAIPD. They also highlight the application of the software program CAMAP for analyzing an MAIPD and offer the software for free online.

Spis treści

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.

O autorze

Bohning, Dankmar; Rattanasiri, Sasivimol; Kuhnert, Ronny