Doing Meta-Analysis with R: A Hands-On Guide
暫譯: 使用 R 進行元分析：實用指南
Harrer, Mathias, Cuijpers, Pim, Furukawa, Toshi
商品描述
This book serves as an accessible introduction into how meta-analyses can be conducted in R. Essential steps for meta-analysis are covered, including pooling of outcome measures, forest plots, heterogeneity diagnostics, subgroup analyses, meta-regression, methods to control for publication bias, risk of bias assessments and plotting tools. Advanced, but highly relevant topics such as network meta-analysis, multi-/three-level meta-analyses, Bayesian meta-analysis approaches, SEM meta-analysis are also covered. A companion R package, dmetar, is introduced in the beginning of the guide. It contains data sets and several helper functions for the meta and metafor package used in the guide.
The programming and statistical background covered in the book are kept at a non-expert level, making the book widely accessible.
Key Features:
- Contains two introductory chapters on how to set up an R environment and do basic imports/manipulation of meta-analysis data, including exercises.
- Describes statistical concepts clearly and concisely before applying them in R.
- Includes step-by-step guidance through the coding required to perform meta-analyses, and a companion R package for the book.
商品描述(中文翻譯)
這本書作為一本易於理解的入門指南，介紹了如何在 R 中進行統合分析（meta-analysis）。書中涵蓋了統合分析的基本步驟，包括結果指標的合併、森林圖（forest plots）、異質性診斷（heterogeneity diagnostics）、子群分析（subgroup analyses）、統合回歸（meta-regression）、控制出版偏誤的方法、偏誤風險評估（risk of bias assessments）以及繪圖工具。書中還涵蓋了一些進階但高度相關的主題，如網絡統合分析（network meta-analysis）、多層/三層統合分析（multi-/three-level meta-analyses）、貝葉斯統合分析方法（Bayesian meta-analysis approaches）和結構方程模型統合分析（SEM meta-analysis）。在指南的開頭介紹了一個配套的 R 套件 dmetar，該套件包含數據集和幾個輔助函數，用於指南中使用的 meta 和 metafor 套件。
書中涵蓋的程式設計和統計背景保持在非專家水平，使得這本書廣泛可讀。
主要特點：
- 包含兩個介紹性章節，說明如何設置 R 環境以及進行統合分析數據的基本導入/操作，包括練習題。
- 在應用於 R 之前，清晰簡潔地描述統計概念。
- 包含逐步指導，說明執行統合分析所需的程式碼，以及本書的配套 R 套件。
作者簡介
Mathias Harrer is a research associate at the Friedrich-Alexander-University Erlangen-Nuremberg. Mathias' research focuses on biostatistical and technological approaches in psychotherapy research, methods for clinical research synthesis, and on the development of statistical software.
Pim Cuijpers is professor of Clinical Psychology at the VU University Amsterdam. He is specialized in conducting randomized controlled trials and meta-analyses, with a focus on the prevention and treatment of common mental disorders. Pim has published more than 800 articles in international peer-reviewed scientific journals; many of which are meta-analyses of clinical trials.
Toshi A. Furukawa is professor of Health Promotion and Human Behavior at the Kyoto University School of Public Health. His seminal research focuses both on theoretical aspects of research synthesis and meta-analysis, as well as their application in evidence-based medicine.
David D. Ebert is professor of Psychology and Behavioral Health Technology at the Technical University of Munich. David's research focuses internet-based intervention, clinical epidemiology, as well as applied research synthesis in this field.
作者簡介(中文翻譯)
**Mathias Harrer** 是德國埃爾朗根-紐倫堡大學的研究助理。Mathias 的研究專注於心理治療研究中的生物統計學和技術方法、臨床研究綜合的方法，以及統計軟體的開發。
**Pim Cuijpers** 是阿姆斯特丹自由大學的臨床心理學教授。他專門進行隨機對照試驗和統合分析，重點關注常見心理障礙的預防和治療。Pim 在國際同行評審的科學期刊上發表了超過800篇文章，其中許多是臨床試驗的統合分析。
**Toshi A. Furukawa** 是京都大學公共衛生學院的健康促進與人類行為教授。他的開創性研究同時關注研究綜合和統合分析的理論方面，以及它們在循證醫學中的應用。
**David D. Ebert** 是慕尼黑工業大學的心理學與行為健康技術教授。David 的研究專注於基於網路的介入、臨床流行病學，以及該領域的應用研究綜合。
