stmcg/metamedian: Meta-Analysis of Medians

Implements several methods to meta-analyze studies that report the sample median of the outcome. The methods described by McGrath et al. (2019) <doi:10.1002/sim.8013>, Ozturk and Balakrishnan (2020) <doi:10.1002/sim.8738>, and McGrath et al. (2020a) <doi:10.1002/bimj.201900036> can be applied to directly meta-analyze the median or difference of medians between groups. Additionally, a number of methods (e.g., McGrath et al. (2020b) <doi:10.1177/0962280219889080>, Cai et al. (2021) <doi:10.1177/09622802211047348>, and McGrath et al. (2023) <doi:10.1177/09622802221139233>) are implemented to estimate study-specific (difference of) means and their standard errors in order to estimate the pooled (difference of) means. Methods for meta-analyzing median survival times (McGrath et al. (2025) <doi:10.48550/arXiv.2503.03065>) are also implemented. See McGrath et al. (2024) <doi:10.1002/jrsm.1686> for a detailed guide on using the package.

Getting started

Package details

MaintainerSean McGrath <sean.mcgrath514@gmail.com>
LicenseGPL (>=3)
Version1.2.1
URL https://github.com/stmcg/metamedian https://doi.org/10.1002/jrsm.1686
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("stmcg/metamedian")
stmcg/metamedian documentation built on March 29, 2025, 8:40 p.m.