使用 R 進行薈萃分析：實踐指南第一版 - 原始版 PDF serves as an accessible introduction on how meta-analyses can be conducted in R. Essential steps for meta-analysis are covered, including calculation and 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 and SEM meta-analysis are also covered. A companion R package, dmetar, 在指南的開頭介紹。 它包含數據集和幾個輔助函數 元 和 metafor 指南中使用的包。

本書涵蓋的編程和統計背景保持在非專家級別，使本書具有廣泛的可讀性。

功能
• 包含兩個介紹性章節，介紹如何設置 R 環境和進行元分析數據的基本導入/操作，包括練習
• 在將統計概念應用到 R 中之前清晰簡潔地描述統計概念