Bayesian Meta-Analysis: A Practical Introduction
暫譯: 貝葉斯統合分析：實用入門
Grant, Robert, Di Tanna, Gian Luca
- 出版商: CRC
- 出版日期: 2025-06-27
- 售價: $2,330
- 貴賓價: 9.5 折 $2,214
- 語言: 英文
- 頁數: 304
- 裝訂: Quality Paper - also called trade paper
- ISBN: 1032451890
- ISBN-13: 9781032451893
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相關分類:
Data Science
海外代購書籍(需單獨結帳)
相關主題
商品描述
"...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.
商品描述(中文翻譯)
「...這本書的時機非常恰當...不僅僅是技術上的闡述，還提供了有關使用不同軟體平台的實用指導，以及提取摘要統計、引出先驗信息、傳達結果、視覺化和許多其他問題的寶貴建議...反映了多年深思熟慮的經驗，對於任何面臨將研究整合成一個連貫整體的人來說，應該具有巨大的價值。」摘自大衛·斯皮格爾霍爾特教授的前言
元分析是對先前進行的研究進行統計組合，通常來自摘要統計，但有時也使用個別參與者數據。它在生命科學中廣泛應用，並在經濟學及其他領域中越來越受歡迎。在許多現實生活中的元分析中，源信息中的挑戰，例如未報告的統計數據或偏見，可以通過貝葉斯方法來納入。《貝葉斯元分析：實用入門》為對貝葉斯、元分析或兩者都不熟悉的研究人員提供了一個易於接近的入門介紹。書中強調使用各種軟體包進行實踐學習。
主要特點
- 入門章節假設讀者沒有先前的經驗或數學訓練，並針對非統計研究人員
- 七種不同軟體替代方案中的基本元分析示例：BUGS、JAGS、Stan、bayesmeta、brms、Stata 和 JASP
- 有關從研究中提取信息、引出專家意見、管理項目決策和撰寫研究結果的實用建議
- 討論特定問題，包括出版偏見、未報告的統計數據和混合研究設計，並提供代碼示例
- 附帶的在線博客和論壇，包含書中的所有代碼和數據，以及更多不同軟體的翻譯
本書旨在彌合希望進行量身定制的元分析的研究人員與他們所需技術之間的鴻溝，這些技術之前僅在數學或計算要求高的出版物中可用。
作者簡介
Robert Grant is a statistician who has worked throughout his career with evidence synthesis and Bayesian models. He is one of the developers of Stan software, and a chartered fellow of the Royal Statistical Society. He worked on health service quality indicators and clinical guidelines for the Royal College of Physicians and the National Institute for Health and Care Excellence from 1998-2010, then on epidemiological and health services research, and teaching for health care professionals around statistics and research methods, at St George's, University of London and Kingston University from 2010-2017. He provided freelance coaching, training and consultancy to clients from various sectors from 2017-2024.
Gian Luca Di Tanna is a biostatistician and health economist who has focused his career on applied statistical methodologies for randomized clinical trials and observational research, particularly Bayesian methods and evidence synthesis/meta-analysis.
He has held academic positions at Sapienza University of Rome, the University of Birmingham, the London School of Hygiene and Tropical Medicine, and Queen Mary University of London. He worked at the George Institute for Global Health at the University of New South Wales, Australia, where he served as Head of the Biostatistics Division and co-Head of the Meta-Research and Evidence Synthesis Unit.
From 2020 to 2022, he chaired the Statistical Methods for Health Economics and Outcomes Research Special Interest Group of the International Society for Pharmacoeconomics and Outcomes Research (ISPOR). He contributes as a Statistical Editor to Cochrane groups and serves on the editorial boards of PharmacoEconomics and BMC Medical Research Methodology. He was listed among the World's Top 2% Scientists in both the 2023 and 2024 rankings published by Stanford University and Clarivate Analytics. He is a Chartered Statistician of the Royal Statistical Society.
He is currently a Full Professor of Biostatistics and Health Economics and Head of Research and Services at the Department of Business Economics, Health, and Social Care at the University of Applied Sciences and Arts of Southern Switzerland (SUPSI). Additionally, he is a member of the Academic Board of the Swiss School of Public Health.
作者簡介(中文翻譯)
羅伯特·格蘭特是一位統計學家，整個職業生涯都專注於證據綜合和貝葉斯模型。他是Stan軟體的開發者之一，也是英國皇家統計學會的特許會員。他於1998年至2010年期間，為皇家內科醫學會和國家健康與護理卓越研究所工作，專注於健康服務質量指標和臨床指導方針，隨後於2010年至2017年在倫敦聖喬治大學和金斯頓大學從事流行病學和健康服務研究，並教授醫療專業人員有關統計和研究方法的課程。他於2017年至2024年期間，為來自各行各業的客戶提供自由職業的輔導、培訓和顧問服務。
詹·盧卡·迪·塔納是一位生物統計學家和健康經濟學家，專注於隨機臨床試驗和觀察性研究的應用統計方法，特別是貝葉斯方法和證據綜合/元分析。
他曾在羅馬薩賓納大學、伯明翰大學、倫敦衛生與熱帶醫學院以及倫敦瑪麗女王大學擔任學術職位。他曾在澳大利亞新南威爾士大學的喬治全球健康研究所工作，擔任生物統計部門負責人及元研究和證據綜合單位的共同負責人。
從2020年到2022年，他擔任國際藥物經濟學與結果研究學會（ISPOR）健康經濟學和結果研究統計方法特別興趣小組的主席。他作為統計編輯為Cochrane小組貢獻，並在《PharmacoEconomics》和《BMC Medical Research Methodology》的編輯委員會任職。他在2023年和2024年由史丹佛大學和Clarivate Analytics發佈的全球前2%科學家名單中入選。他是英國皇家統計學會的特許統計學家。
目前，他是南瑞士應用科學與藝術大學（SUPSI）商業經濟、健康與社會護理系的生物統計學和健康經濟學全職教授及研究與服務部門負責人。此外，他還是瑞士公共衛生學校的學術委員會成員。
