This remarkable text raises the analysis of data in health sciences and policy to new heights of refinement and applicability by introducing cutting-edge meta-analysis strategies while reviewing more commonly used techniques. Each chapter builds on sound principles, develops methodologies to solve statistical problems, and presents concrete applications used by experienced medical practitioners and health policymakers. Written by more than 30 celebrated international experts, Meta-Analysis in Medicine and Health Policy employs copious examples and pictorial presentations to teach and reinforce biostatistical techniques more effectively and poses numerous open questions of medical and health policy research.
Table of Contents
Meta-Analysis: Past and Present Challenges, Meta-Analysis of Heterogeneously Reported Study Results: A Bayesian Approach, Meta-Analysis versus Large Trials: Resolving the Controversy, Meta-Analysis of Randomized Mega-Trials for the Choice of Thrombolytic Agents in Acute Myocardial Infarction, Combining Studies with Continuous and Dichotomous Responses: A Latent-Variables Approach, Computer-Modeling and Graphical Strategies for Meta-analysis, Meta-Analysis for 2 x 2 Tables with Multiple Treatment Groups, A Bayesian Meta-Analysis of the Relationship between Duration of Estrogen Exposure and Occurrence of Endometrial Cancer, Modeling and Implementation Issues in Bayesian Meta-Analysis, Meta-Analysis of Population Pharmacokinetic Data, Meta-Analysis of Individual-patient Survival Data Using Random-Effect Models, Adjustment for Publication Bias and Quality Bias in Bayesian Meta-Analysis, Meta-Analysis of Clinical Trials: Opportunities and Limitations, Research Synthesis for Public Health Policy: Experience of the Institute of Medicine, Meta-Analysis in Practice: A Critical Review of Available Software
Dalene K. Stangl, Donald A. Berry