Meta-Analysis in Medicine and Health Policy

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Dalene Stangl, Donald A. Berry
CRC Press, Apr 20, 2000 - Mathematics - 414 pages
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.

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Contents

Metaanalysis Past and Present Challenges
1
Metaanalysis of Heterogeneously Reported Study Results A Bayesian Approach
29
Metaanalysis versus Large Trials Resolving the Controversy
65
A Bayesian Metaanalysis of Randomized Megatrials for the Choice of Thrombolytic Agents in Acute Myocardial Infarction
83
Combining Studies with Continuous and Dichotomous Responses A LatentVariables Approach
105
Computermodeling and Graphical Strategies for Metaanalysis
127
Metaanalysis for 2 x 2 Tables with Multiple Treatment Groups
179
A Bayesian Metaanalysis of the Relationship between Duration of Estrogen Exposure and Occurrence of Endometrial Cancer
191
Metaanalysis of Population Pharmacokinetic Data
231
Metaanalysis of Individualpatient Survival Data Using Randomeffect Models
255
Adjustment for Publication Bias and Quality Bias in Bayesian Metaanalysis
277
Metaanalysis of Clinical Trials Opportunities and Limitations
305
Research Synthesis for Public Health Policy Experience of the Institute of Medicine
321
Metaanalysis in Practice A Critical Review of Available Software
359
Index
391
Copyright

Modeling and Implementation Issues in Bayesian Metaanalysis
205

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Page 103 - The TIMI Study Group. Comparison of invasive and conservative strategies after treatment with intravenous tissue plasminogen activator in acute myocardial infarction: results of the Thrombolysis in Myocardial Infarction (TIMI) phase II trial.
Page 102 - Fibrinolytic Therapy Trialists' (FTT) Collaborative Group. Indications for fibrinolytic therapy in suspected acute myocardial infarction: collaborative overview of early mortality and major morbidity results from all randomised trials of more than 1000 patients. Lancet 1994; 343:31 1-322.
Page 147 - Rather than seeking an estimator of the classification parameters (the class parameter vectors, 0, and the class probabilities, if), we seek their full posterior probability distribution. The posterior distribution is proportional to the product of the prior distribution of the parameters p(6 , Jr | J) and the likelihood function p(x \ $,i?,J).
Page 103 - Yusuf S, Zucker D, Peduzzi P, et al: Effect of coronary artery bypass graft surgery on survival: overview of 10-year results from randomised trials by the Coronary Artery Bypass Graft Surgery Trialists Collaboration.
Page 355 - Relation of soft-tissue sarcoma, malignant lymphoma and colon cancer to phenoxy acids, chlorophenols and other agents. Scand J Work Environ Health 1981; 7:119-130.
Page 230 - Collins R, Peto R, MacMahon S, et al. Blood pressure, stroke, and coronary heart disease. Part 2: Short-term reductions in blood pressure: Overview of randomised drug trials in their epidemiological context.
Page 102 - The International Study Group: In-hospital mortality and clinical course of 20,891 patients with suspected acute myocardial infarction randomized between alteplase and streptokinase with or without heparin. Lancet 1990:336:71-75.
Page 102 - The GUSTO Investigators. An international randomized trial comparing four thrombolytic strategies for acute myocardial infarction.
Page 103 - Impact of an aggressive invasive catheterization and revascularization strategy on mortality in patients with cardiogenic shock in the Global Utilization of Streptokinase and Tissue Plasminogen Activator for Occluded Coronary Arteries (GUSTO-I) trial: an observational study.
Page 104 - Link between the angiographic substudy and mortality outcomes in a large randomized trial of myocardial reperfusion. Importance of early and complete infarct artery reperfusion GUSTO-I Investigators.

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About the author (2000)

Dalene K. Stagl is an Assistant Professor at the Institute of Statistics and Decision Sciences and the Terry Sanford Institute for Public Policy at Duke University, Durham, North Carolina, and an Adjunct Professor in the Biostatistic Department at the University of North Carolina, Chapel Hill. The author or coauthor of more than 60 professional publications, and the coeditor of Bayesian Biostatistics (Marcel Dekker, Inc.), Dr. Stangl is a member of the American Statistical Association, the International Society of Bayesian Analysis, the Society for Medical Decision Making, and the Caucus for Women in Statistics, among other. She has extensive experience consulting hospitals in the fields of health sciences research and developmental epidemiology. Dr. Stangl received the B.S. degree (1978) in psychology and sociology from Iowa State University, Ames, the M.A. degree (1981) in sociology from the University of Iowa, Iowa City, and the M.S. (1988) and Ph.D. (1991) degrees in statistics from Carnegie Mellon University, Pittsburgh, Pennsylvania. Donald A. Berry is Professor and Chairman, Department of Biostatistics, and the Frank T. McGraw Memorial Chair of Cancer Research at the University of Texas M.D. Anderson Cancer Center, Houston, Texas. A consultant to pharmaceutical companies and hospitals, he is the author or coauthor of over 280 articles and papers, as well as the author, coauthor, editor, or coeditor of 10 books, including Statistical Methodology in the Pharmaceutical Sciences and Bayesian Biostatistics (both titles, Marcel Dekker, Inc.). The recipient of several research grants from the National Science Foundation and the National Institutes of Health, he is a Fellow of the American Statistical Association and the Institute of Mathematical Statistic, and an elected member of the International Statistical Institute. Dr. Berry received the A.B. degree (1965) in mathematics from Dartmouth College, Hanover, New Hampshire, and the M.S. (1967) and Ph.D. (1971) degree in statistics from Yale University, New Haven, Connecticut.

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