Meta-Analysis in Medicine and Health Policy (Chapman & Hall/CRC Biostatistics Series) [Hardcover]

Dalene Stangl (Editor), Donald A. Berry (Editor)

Book Description

Publication Date: April 15, 2000 | ISBN-10: 0824790308 | ISBN-13: 978-0824790301 | Edition: 1

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.

Product Details

• Hardcover: 414 pages
• Publisher: CRC Press; 1 edition (April 15, 2000)
• Language: English
• ISBN-10: 0824790308
• ISBN-13: 978-0824790301
• Product Dimensions: 9 x 6.1 x 1 inches
• Shipping Weight: 1.4 pounds (View shipping rates and policies)
• Average Customer Review: 5.0 out of 5 stars  See all reviews (1 customer review)
• Amazon Best Sellers Rank: #1,560,081 in Books (See Top 100 in Books)

Customer Reviews

Most Helpful Customer Reviews

47 of 50 people found the following review helpful:

5.0 out of 5 stars Bayesian approach to meta-analysis, February 15, 2008

By 

Michael R. Chernick "statman31147" (Holland PA) - See all my reviews
(REAL NAME)   

This review is from: Meta-Analysis in Medicine and Health Policy (Chapman & Hall/CRC Biostatistics Series) (Hardcover)

Dalene Stangl and Don Berry are two of the leading researchers on Bayesian methods and have made major contributions to medical applications. Here they have compiled a collection of excellent papers on recent research into the Bayesian approach to meta-analyses which now includes examination of heterogeneity through the use of random effects models. They contribute an introductory overview chapter and have compiled a number of very interesting state-of-the-art papers by leading researchers. Particularly interesting is the paper by Scott Berry (Don's son) who provides an analysis to show that controversy between meta-analyses and large clinical trials can be resolved through consideration of the study-to-study variability not considered in fixed effects analyses.
The text can be used for a modern course on Bayesian Meta Analysis. I just took a one-day short course from Dalene on this topic at the joint statistical meetings in Indianapolis. She gave an effective presentation using material from several of the papers in the book.