Book Bayesian Meta-Analysis: A Practical Introduction PDF Download - Robert Grant, Gian Luca Di Tanna
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Bayesian Meta-Analysis: A Practical Introduction
Robert Grant, Gian Luca Di Tanna
Page: 328
Format: pdf, ePub, mobi, fb2
ISBN: 9781032451893
Publisher: CRC Press
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"…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 Spiegelhalter
Meta-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.
Bayesian Meta-Analysis: A Practical Introduction | Robert Grant
"Bayesian Meta-Analysis: A Practical Introduction", the new book by Gian Luca Di Tanna and me, will be out in June on CRC Press!
Bayesian Meta-Analysis: a practical introduction - Robert Grant
Bayesian Meta-Analysis: a practical introduction. This book, written by me and Prof Gian Luca Di Tanna, will be published by CRC Press in May 2025.
Introduction to Meta-Analysis, 2nd Edition | Wiley
A clear and thorough introduction to meta-analysis, the process of synthesizing data from a series of separate studies.
Likelihood-based random-effects meta-analysis with few studies
We consider likelihood-based methods, the DerSimonian-Laird approach, Empirical Bayes, several adjustment methods and a fully Bayesian approach.
Bayesian Meta-Analysis: A Practical Introduction (English Edition .
This book 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 .
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Tips on Practical Use · 1.4.6. Kernel . 1.8.1. PLSCanonical · 1.8.2. PLSSVD · 1.8.3. PLSRegression · 1.8.4. Canonical Correlation Analysis · 1.9. Naive Bayes.
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practical and measurement issues. If, for example, the amount of actionable . Book reading on the language and literacy skills of six-year-old pupils .