Performing robust variance estimate analysis using R robumeta package
Feng Yujia
Guo Zixin
Zeng Xiantao
Liu Xiaoping
Abstract：The robumeta package provides functions for performing robust variance meta-regression. Traditional means of meta-regression couldn't deal with the complicated and unknown correlations among dependent effect sizes. The robumeta package provides a new method of using different weighting schemes to establish both large and small sample robust variance estimation (RVE) to performing robust variance meta-regression. The traditional RVE can just use in the large sample, but it can be used in the small sample after some adjustments have been done. This article uses examples to introduce the whole functions of robumeta package in performing robust variance meta-regression, including data preparation, calculation implementation, result summary, and plots drawing.
Keywords：Robust variance estimationMeta-analysisRRobumeta package
Publication Date：2018-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：4( 143-146 )