metamedian : An R package for meta-analyzing studies reporting medians
© 2023 John Wiley & Sons Ltd..
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.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2024 |
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| Erschienen: |
2024 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:15 |
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| Enthalten in: |
Research synthesis methods - 15(2024), 2 vom: 30. März, Seite 332-346 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
McGrath, Sean [VerfasserIn] |
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| Links: |
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| Themen: |
Journal Article |
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| Anmerkungen: |
Date Completed 11.03.2024 Date Revised 11.03.2024 published: Print-Electronic Citation Status MEDLINE |
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| doi: |
10.1002/jrsm.1686 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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NLM365639559 |
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| 520 | |a 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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| 700 | 1 | |a Zhao, XiaoFei |e verfasserin |4 aut | |
| 700 | 1 | |a Ozturk, Omer |e verfasserin |4 aut | |
| 700 | 1 | |a Katzenschlager, Stephan |e verfasserin |4 aut | |
| 700 | 1 | |a Steele, Russell |e verfasserin |4 aut | |
| 700 | 1 | |a Benedetti, Andrea |e verfasserin |4 aut | |
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