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How to plan and manage an individual participant data meta-analysis: an illustrative toolkit

Individual participant data meta-analyses (IPD-MAs) have several benefits over standard aggregate data meta-analyses, including the consideration of additional participants, follow-up time, and the joint consideration of study- and participant-level heterogeneity for improved diagnostic and prognost...

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Hauptverfasser: Maxwell, Lauren (VerfasserIn) , Shreedhar, Priya (VerfasserIn) , Carabali, Mabel (VerfasserIn) , Levis, Brooke (VerfasserIn)
Dokumenttyp: Article (Journal)
Sprache:Englisch
Veröffentlicht: 2023
In: Research synthesis methods
Year: 2023, Pages: 1-9
ISSN:1759-2887
DOI:10.1002/jrsm.1670
Online-Zugang:Verlag, kostenfrei, Volltext: https://doi.org/10.1002/jrsm.1670
Verlag, kostenfrei, Volltext: https://onlinelibrary.wiley.com/doi/abs/10.1002/jrsm.1670
Volltext
Verfasserangaben:Lauren Maxwell, Priya Shreedhar, Mabel Carabali, Brooke Levis
Beschreibung
Zusammenfassung:Individual participant data meta-analyses (IPD-MAs) have several benefits over standard aggregate data meta-analyses, including the consideration of additional participants, follow-up time, and the joint consideration of study- and participant-level heterogeneity for improved diagnostic and prognostic model development and evaluation. However, IPD-MAs are resource-intensive and require careful budgeting of time from data contributing groups, a dedicated management team, diversity of expertise, clearly documented data sharing and authorship agreements, and consistent and clear communication. We present a toolkit to facilitate the implementation and management of IPD-MAs, from study recruitment to retrospective harmonization. The toolkit was developed and refined over our work on multiple multinational IPD-MA projects over the last 13 years. The toolkit's budget and email templates, agreements, project management spreadsheets, and standard operating procedures are meant to facilitate routine IPD-MA tasks to expedite implementing and managing future IPD-MA projects.
Beschreibung:Online veröffentlicht: 12. September 2023
Gesehen am 28.11.2023
Beschreibung:Online Resource
ISSN:1759-2887
DOI:10.1002/jrsm.1670

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