Meta-Analysis, Decision Analysis, and Cost-Effectiveness Analysis: Methods for Quantitative Synthesis in Medicine

Front Cover
Oxford University Press, Oct 14, 1999 - Medical - 320 pages
Meta-analysis, decision analysis, and cost-effectiveness analysis are the cornerstones of evidence-based medicine. These related quantitative methods have become essential tools in the formulation of clinical and public policy based on the synthesis of evidence. All three methods are taught with increasing frequency in medical schools and schools of public health and in health policy courses at the undergraduate and graduate level. This book is a lucid introduction, and will serve the needs of students taking introductory courses that cover these topics. It will also be useful to clinicians and policymakers who need to understand the quantitative underpinnings of the methods in order to best apply the information that derives from them. The second edition of this popular book adds new material on cumulative meta-analysis as a method to explore heterogeneity. The coverage of cost-effectiveness analysis has been brought into close alignment with recommendations of the U.S. Public Health Panel on Cost-Effectiveness Analysis in Health and Medicine. Many of the examples have been replaced with more current examples, and all of the material has been updated to reflect recent advances in the methods and the emergence of consensus about some previously controversial issues. analysis. These three closely related methods have become even more important for synthesizing research since the first edition was published in 1994. And they have gained legitimacy as tools for guiding health policy.
 

Contents

1 Introduction
1
2 Overview of the Methods
13
3 Planning the Study
33
4 Information Retrieval
43
5 Data Collection
68
6 Advanced Issues in MetaAnalysis
75
7 Statistical Methods in MetaAnalysis
94
8 Other Statistical and Methodologic Issues in MetaAnalysis
119
12 Advanced CostEffectiveness Analysis
182
13 Utility and CostUtility Analysis
202
14 Exploring Heterogeneity
213
15 Sensitivity Analysis
229
16 Reporting Results
244
17 Limitations
263
References
283
Subject Index
297

9 Complex Decision Problems
140
10 Estimating Probabilities
159
11 Measuring Preferences for Health States
169

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