Doing Meta-Analysis in R: A Hands-on Guide
Published:
I am starting a reading-note series on Doing Meta-Analysis in R: A Hands-on Guide.
This series will summarize key methods, practical R workflows, and my own reflections on how the book can inform applied meta-analysis projects.
Why this series
I want to use this space to:
- organize my reading notes systematically,
- connect the book’s content to real meta-analytic practice,
- build a reusable reference for future projects.
Planned notes
基本内容
高级方法
- 10 “多层级”Meta 分析
- 11 结构方程模型 Meta 分析
- 12 网络 Meta 分析
- 13 贝叶斯 Meta 分析
实用工具
- 14 功效分析
- 15 偏倚风险图
- 16 报告与可重复性
- 17 效应量计算与转换
How I will use these notes
These notes will focus on:
- conceptual understanding,
- practical R implementation,
- issues that matter in real research workflows.
I will continue updating this series as I read further.