Stangl / Berry Meta-Analysis in Medicine and Health Policy

1. Auflage 2000
ISBN: 978-0-203-90993-5
Verlag: Taylor & Francis
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 414 Seiten

Reihe: Chapman & Hall/CRC Biostatistics Series

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.

Zielgruppe

applied statisticians, biostatisticians, pharmacists, and epidemiologists and public health officials, and upper-level undergraduate and graduate students in these disciplines

Autoren/Hrsg.

Stangl, Dalene

Berry, Donald A.

Fachgebiete

• Interdisziplinäres Wissenschaften Wissenschaften: Allgemeines

Inhaltsverzeichnis

Meta-Analysis: Past and Present Challenges
Dalene K. Stangl and Donald A. Berry

Meta-Analysis of Heterogeneously Reported Study Results: A Bayesian Approach
Keith R. Abrams, Paul C. Lambert, Bruno Sansó, and Chris Shaw

Meta-Analysis versus Large Trials: Resolving the Controversy
Scott M. Berry

A Bayesian Meta-Analysis of Randomized Mega-Trials for the Choice of Thrombolytic Agents in Acute Myocardial Infarction
James Brophy and Lawrence Joseph

Combining Studies with Continuous and Dichotomous Responses: A Latent-Variables Approach
Francesca Dominici and Giovanni Parmigiani

Computer-Modeling and Graphical Strategies for Meta-analysis
William DuMouchel and Sharon-Lise Normand

Meta-Analysis for 2 x 2 Tables with Multiple Treatment Groups
Leon J. Gleser and Ingram Olkin

A Bayesian Meta-Analysis of the Relationship between Duration of Estrogen Exposure and Occurrence of Endometrial Cancer
Daniel T. Larose

Modeling and Implementation Issues in Bayesian Meta-Analysis
Donna K. Pauler and Jon Wakefield

Meta-Analysis of Population Pharmacokinetic Data
Nargis Rahman and Jon Wakefield

Meta-Analysis of Individual-patient Survival Data Using Random-Effect Models
Daniel J. Sargent, Benny C. Zee, Chantal Milan, Valter Torri, and Guido Francini

Adjustment for Publication Bias and Quality Bias in Bayesian Meta-Analysis
David D. Smith, Geof H. Givens, and Richard L. Tweedie

Meta-Analysis of Clinical Trials: Opportunities and Limitations
Richard Simon

Research Synthesis for Public Health Policy: Experience of the Institute of Medicine
Michael A. Stoto

Meta-Analysis in Practice: A Critical Review of Available Software
Alexander J. Sutton, Paul C. Lambert, Martin A. G. Hellmich, Keith R. Abrams, and David