metamedian: An R package for meta‐analyzing studies reporting medians

Author:

McGrath Sean1ORCID,Zhao XiaoFei2,Ozturk Omer3,Katzenschlager Stephan4,Steele Russell5,Benedetti Andrea678ORCID

Affiliation:

1. Department of Biostatistics Harvard T.H. Chan School of Public Health Boston Massachusetts USA

2. MOE Key Laboratory of Bioinformatics, Bioinformatics Division, BNRIST and Department of Automation Tsinghua University Beijing China

3. Department of Statistics The Ohio State University Columbus Ohio USA

4. Department of Anesthesiology Heidelberg University Hospital Heidelberg Germany

5. Department of Mathematics and Statistics McGill University Montreal Quebec Canada

6. Department of Epidemiology, Biostatistics, and Occupational Health McGill University Montreal Quebec Canada

7. Respiratory Epidemiology and Clinical Research Unit (RECRU) McGill University Health Centre Montreal Quebec Canada

8. Department of Medicine McGill University Montreal Quebec Canada

Abstract

AbstractWhen performing an aggregate data meta‐analysis of a continuous outcome, researchers often come across primary studies that report the sample median of the outcome. However, standard meta‐analytic methods typically cannot be directly applied in this setting. In recent years, there has been substantial development in statistical methods to incorporate primary studies reporting sample medians in meta‐analysis, yet there are currently no comprehensive software tools implementing these methods. In this paper, we present the metamedian R package, a freely available and open‐source software tool for meta‐analyzing primary studies that report sample medians. We summarize the main features of the software and illustrate its application through real data examples involving risk factors for a severe course of COVID‐19.

Funder

National Science Foundation

Publisher

Wiley

Subject

Education

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