Meta-analysis of Binary Data Using Profile Likelihood: 1st Edition (Hardback) book cover

Meta-analysis of Binary Data Using Profile Likelihood

1st Edition

By Dankmar Bohning, Sasivimol Rattanasiri, Ronny Kuhnert

Chapman and Hall/CRC

208 pages

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Paperback: 9780367387570
pub: 2019-10-21
Hardback: 9781584886303
pub: 2008-03-27
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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 clinical trials with binary outcomes.

After illustrating the meta-analytic situation of an MAIPD with several examples, the authors introduce the profile likelihood model and extend it to cope with unobserved heterogeneity. They describe elements of log-linear modeling, ways for finding the profile maximum likelihood estimator, and alternative approaches to the profile likelihood method. The authors also discuss how to model covariate information and unobserved heterogeneity simultaneously and use the profile likelihood method to estimate odds ratios. The final chapters look at quantifying heterogeneity in an MAIPD and show how meta-analysis can be applied to the surveillance of scrapie.

Containing new developments not available in the current literature, along with easy-to-follow inferences and algorithms, this book enables clinicians to efficiently analyze MAIPDs.

Table of Contents

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.

About the Authors

Bohning, Dankmar; Rattanasiri, Sasivimol; Kuhnert, Ronny

About the Series

Chapman & Hall/CRC Interdisciplinary Statistics

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Subject Categories

BISAC Subject Codes/Headings:
MATHEMATICS / Probability & Statistics / General