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Challenges In Performing An Individual Participant–level Data Meta-analysis [PDF]
Individual participant-data meta-analysis (IPDMA) uses data at the participant level to synthesize evidence on clinical decision-making. We discuss the differences from aggregate-data meta-analysis and the advantages and challenges of IPDMA.
Henk van der Worp +2 more
exaly +4 more sources
Body-mass index and all-cause mortality: individual-participant-data meta-analysis of 239 prospective studies in four ...
John Potter +2 more
exaly +1 more source
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Overcoming obstacles in obtaining individual participant data for meta-analysis
Research Synthesis Methods, 2016Individual participant data (IPD) is the backbone of scientific inquiry and important to a meta‐analysis for a variety of reasons. It is therefore important to be able to access IPD, and yet, obstacles persist that make it difficult for meta‐analysts, as well as interested primary study analysts, to obtain it.
Joshua R Polanin
exaly +3 more sources
Meta-analysis of a binary outcome using individual participant data and aggregate data
Research Synthesis Methods, 2010AbstractIn this paper, we develop meta‐analysis models that synthesize a binary outcome from health‐care studies while accounting for participant‐level covariates. In particular, we show how to synthesize the observed event‐risk across studies while accounting for the within‐study association between participant‐level covariates and individual event ...
Richard D. Riley, Ewout W. Steyerberg
exaly +3 more sources

