Bayesian Meta-Analysis: A Practical Introduction (1)

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Synopsis
"…this book is extremely timely…not just a technical exposition, but provides practical guidance about using different software platforms, as well as valuable advice about extracting summary statistics, eliciting prior information, communicating results, visualisation, and many other issues…reflects years of thoughtful experience, and should be of huge value to anyone faced with pooling studies into a coherent whole."~From the Foreword by Professor Sir David SpiegelhalterMeta-analysis is the statistical combination of previously conducted studies, often from summary statistics but sometimes with individual participant data. It is widespread in life sciences and is gaining popularity in economics and beyond. In many real-life meta-analyses, challenges in the source information, such as unreported statistics or biases, can be incorporated using Bayesian methods. Bayesian Meta-Analysis: A Practical Introduction provides an approachable introduction for researchers who are new to Bayes, meta-analysis, or both. There is an emphasis on hands-on learning using a variety of software packages.Key Features Introductory chapters assume no prior experience or mathematical training, and are aimed at non-statistical researchers Examples of basic meta-analyses in seven different software alternatives: BUGS, JAGS, Stan, bayesmeta, brms, Stata, and JASP Practical advice on extracting information from studies, eliciting expert opinions, managing project decisions, and writing up findings Discussion of specific problems, including publication bias, unreported statistics, and a mixture of study designs, with code examples Accompanying online blog and forum, with all code and data from the book, plus more translations to different software This book aims to bridge the gap between the researcher who wants to carry out tailored meta-analysis and the techniques they need, which have previously been available only in mathematically or computationally demanding publications.
Copyright:
2025

Book Details

Book Quality:
Publisher Quality
Book Size:
332 Pages
ISBN-13:
9781040357972
Related ISBNs:
9781032451909, 9781032451893, 9781003375821, 9781040357965
Publisher:
CRC Press
Date of Addition:
Copyrighted By:
Robert Grant and Gian Luca Di Tanna
Adult content:
No
Language:
English
Has Image Descriptions:
No
Categories:
Nonfiction, Mathematics and Statistics, Medicine
Submitted By:
Bookshare Staff
Usage Restrictions:
This is a copyrighted book.

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