Meta-analysis of Binary Data Using Profile Likelihood

by Dankmar Bohning, Sasivimol Rattanasiri, Ronny Kuhnert

Overview

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 approac

Product Details

ISBN-13:	9781040207130
Publisher:	CRC Press
Publication date:	03/27/2008
Series:	Chapman & Hall/CRC Interdisciplinary Statistics
Sold by:	Barnes & Noble
Format:	eBook
Pages:	208
File size:	4 MB

About the Author

Bohning, Dankmar; Rattanasiri, Sasivimol; Kuhnert, Ronny

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.