Metamedian: an R package for meta-analyzing studies reporting medians
When 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 substanti...
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| Main Authors: | , , , , , |
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| Format: | Article (Journal) |
| Language: | English |
| Published: |
10 December 2023
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| In: |
Research synthesis methods
Year: 2024, Volume: 15, Issue: 2, Pages: 332-346 |
| ISSN: | 1759-2887 |
| DOI: | 10.1002/jrsm.1686 |
| Online Access: | Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1002/jrsm.1686 Verlag, lizenzpflichtig, Volltext: https://onlinelibrary.wiley.com/doi/abs/10.1002/jrsm.1686 
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| Author Notes: | Sean McGrath, XiaoFei Zhao, Omer Ozturk, Stephan Katzenschlager, Russell Steele, Andrea Benedetti |
| Summary: | When 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. |
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| Item Description: | Gesehen am 27.05.2024 |
| Physical Description: | Online Resource |
| ISSN: | 1759-2887 |
| DOI: | 10.1002/jrsm.1686 |