Meta-Analysis in Medicine and Health Policy
Meta-Analysis in Medicine and Health Policy Books
Product Description
Duke Univ., Durham, NC. Examines pharmacokinetic models, survival models, methods of improving adjustments for publication bias, group judgments and statistical computer software. Primarily a reference book that relies heavily on examples. Written for applied statisticians, and students of statistics and biostatistics.
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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 brilliant 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 fascinating state-of-the-art papers by leading researchers. Particularly fascinating 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 flat effects analyses.
The text can be used for a modern course on Bayesian Meta Analysis. I just took a one-day small 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.
Rating: 5 / 5