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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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Bibliographic Details
Main Authors: Maxwell, Lauren (Author) , Shreedhar, Priya (Author) , Levis, Brooke (Author) , Chavan, Sayali Arvind (Author) , Akter, Shaila (Author) , Carabali, Mabel (Author)
Format: Article (Journal)
Language:English
Published: 2023
In: BMC health services research
Year: 2023, Volume: 23, Pages: 1-13
ISSN:1472-6963
DOI:10.1186/s12913-023-09726-8
Online Access:Verlag, kostenfrei, Volltext: https://doi.org/10.1186/s12913-023-09726-8
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Author Notes:Lauren Maxwell, Priya Shreedhar, Brooke Levis, Sayali Arvind Chavan, Shaila Akter and Mabel Carabali
Description
Summary: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.
Item Description:Veröffentlicht: 06. Juli 2023
Gesehen am 03.08.2023
Physical Description:Online Resource
ISSN:1472-6963
DOI:10.1186/s12913-023-09726-8

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