Chapter 1 Introduction

MetaHD is an R package that performs multivariate meta-analysis for high-dimensional data. It can be used for integrating and collectively analysing individual-level data generated from multiple studies as well as for combining summary estimates. MetaHD approach accounts for correlation between outcomes, considers variability within and between studies, handles missing values and uses shrinkage estimation to allow for high dimensionality.

The ‘MetaHD’ R package provides access to our fastMetaHD approach, along with a comprehensive suite of existing meta-analysis methods, including fixed-effects and random-effects models, Fisher’s method, Stouffer’s method, the weighted Z method, Lancaster’s method, the weighted Fisher’s method, and vote-counting approach.

The methodological details of MetaHD are given by (Liyanage et al. 2024, 2026).