[PDF/EPUB] Download Bayesian Meta-Analysis: A
Bayesian Meta-Analysis: A Practical Introduction by Robert Grant, Gian Luca Di Tanna
- Bayesian Meta-Analysis: A Practical Introduction
- Robert Grant, Gian Luca Di Tanna
- Page: 328
- Format: pdf, ePub, mobi, fb2
- ISBN: 9781032451893
- Publisher: CRC Press
Bayesian Meta-Analysis: A Practical Introduction
Pdf free ebooks download Bayesian Meta-Analysis: A Practical Introduction
"…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 by Robert Grant - Coles Books
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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 - 博客來
書名：Bayesian Meta-Analysis: A Practical Introduction，語言：英文，ISBN：9781032451893，頁數：336，作者：Grant, Robert,Di Tanna, Gian Luca，出版日期：2025/06/27， .
[PDF] Volume 1, Issue 1 - Meta-Analysis Workshops
These books are Lipsey & Wilson's (LW) Practical meta-analysis. [1], Sutton . As a general overview, LW provides practical guidance on all stages of a research .
[PDF] Deep Learning by Ian Goodfellow, Yoshua Bengio, Aaron Courville .
Introduction. 1. 1.1. Who Should Read This Book . Analysis . . . . . . . 48. 3 Probability and Information Theory. 53. 3.1. Why Probability .
Books for Understanding Bayesian probability from the Beginning
(This is a very very good reference for questions on model checking, simulational approaches, and ignorability of experimental designs.) Doing .
Bayesian Meta-Analysis - Robert Grant, Gian Luca Di Tanna - Adlibris
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