Sec.2-Ch.1-Subsec.5：Sensitivity and Subgroup Analyses in Meta-Analysis of Binary Outcomes Using R

Model Construction, Robustness Evaluation, and Forest Plot Visualization with Practical Examples

Sensitivity analysis and subgroup analysis play a crucial role in Meta-analysis. They help evaluate the robustness of study results and identify potential sources of heterogeneity. This article provides a detailed discussion of these two analytical methods, illustrating how to perform them using the metainf() and metabin() functions in R, supported by practical dataset examples.

---

I. Review of Previous Content

1. Formula Construction

The Fleiss93 dataset comes from the meta extension package and includes seven clinical trials conducted in the 1970s–1980s on aspirin for preventing death after myocardial infarction.

library(meta)
data(Fleiss93)