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Overlapping research efforts in a global pandemic: a rapid systematic review of COVID-19-related individual participant data meta-analyses

Individual participant data meta-analyses (IPD-MAs), which involve harmonising and analysing participant-level data from related studies, provide several advantages over aggregate data meta-analyses, which pool study-level findings. IPD-MAs are especially important for building and evaluating diagno...

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Hauptverfasser: Maxwell, Lauren (Verfasst von) , Shreedhar, Priya (Verfasst von) , Levis, Brooke (Verfasst von) , Chavan, Sayali Arvind (Verfasst von) , Akter, Shaila (Verfasst von) , Carabali, Mabel (Verfasst von)
Dokumenttyp: Article (Journal)
Sprache:Englisch
Veröffentlicht: 2023
In: BMC health services research
Year: 2023, Jahrgang: 23, Pages: 1-13
ISSN:1472-6963
DOI:10.1186/s12913-023-09726-8
Online-Zugang:Verlag, kostenfrei, Volltext: https://doi.org/10.1186/s12913-023-09726-8
Volltext
Verfasserangaben:Lauren Maxwell, Priya Shreedhar, Brooke Levis, Sayali Arvind Chavan, Shaila Akter and Mabel Carabali
Beschreibung
Zusammenfassung:Individual participant data meta-analyses (IPD-MAs), which involve harmonising and analysing participant-level data from related studies, provide several advantages over aggregate data meta-analyses, which pool study-level findings. IPD-MAs are especially important for building and evaluating diagnostic and prognostic models, making them an important tool for informing the research and public health responses to COVID-19.
Beschreibung:Veröffentlicht: 06. Juli 2023
Gesehen am 03.08.2023
Beschreibung:Online Resource
ISSN:1472-6963
DOI:10.1186/s12913-023-09726-8

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