Malaria, malnutrition, and birthweight: A meta-analysis using individual participant data. [PDF]
BackgroundFour studies previously indicated that the effect of malaria infection during pregnancy on the risk of low birthweight (LBW;
Jordan E Cates +35 more
doaj +8 more sources
Estimating individualized treatment effects using an individual participant data meta-analysis
Background One key aspect of personalized medicine is to identify individuals who benefit from an intervention. Some approaches have been developed to estimate individualized treatment effects (ITE) with a single randomized control trial (RCT) or ...
Florie Bouvier +5 more
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Individual participant data (IPD) meta-analysis: An introduction – Narrative review
Systematic reviews and meta-analyses (MA) are accepted modalities for evidence synthesis in evidence-based medicine. However, as MA uses aggregate data that includes averaging patient characteristics and pooled effect estimates, it has limitations when ...
Ekta Rai +3 more
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Individual participant data meta-analysis for a binary outcome: one-stage or two-stage? [PDF]
A fundamental aspect of epidemiological studies concerns the estimation of factor-outcome associations to identify risk factors, prognostic factors and potential causal factors.
Thomas P A Debray +4 more
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Research Note: Individual participant data (IPD) meta-analysis [PDF]
'Editorial Material'
Jill A Hayden, Richard D Riley
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Individual participant data meta-analysis with mixed-effects transformation models [PDF]
SummaryOne-stage meta-analysis of individual participant data (IPD) poses several statistical and computational challenges. For time-to-event outcomes, the approach requires the estimation of complicated nonlinear mixed-effects models that are flexible enough to realistically capture the most important characteristics of the IPD.
Tamási, Bálint +4 more
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Multivariate meta‐analysis using individual participant data [PDF]
When combining results across related studies, a multivariate meta-analysis allows the joint synthesis of correlated effect estimates from multiple outcomes. Joint synthesis can improve efficiency over separate univariate syntheses, may reduce selective outcome reporting biases, and enables joint inferences across the outcomes.
Riley, R. D. +7 more
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An Introduction to Individual Participant Data Meta-analysis
Meta-analysis using individual participant data (IPD-MA) from randomized controlled trials (RCTs) can strengthen evidence used for decision making and is considered the "gold standard" approach. In this study, we present the importance, properties, and main approaches of conducting an IPD-MA. We exemplify the main approaches of conducting an IPD-MA and
Areti Angeliki Veroniki +4 more
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Using individual participant data to improve network meta-analysis projects [PDF]
A network meta-analysis combines the evidence from existing randomised trials about the comparative efficacy of multiple treatments. It allows direct and indirect evidence about each comparison to be included in the same analysis, and provides a coherent framework to compare and rank treatments.
Riley, Richard D +6 more
openaire +8 more sources
Commentary: Meta-analysis of Individual Participants' Data in Genetic Epidemiology [PDF]
The authors summarize their experience in the conduct of meta-analysis of individual participants' data (MIPD) with time-to-event analyses in the field of genetic epidemiology. The MIPD offers many advantages compared with a meta-analysis of the published literature. These include standardization of case definitions, outcomes, and covariates; inclusion
Ioannidis, J. P. +3 more
openaire +3 more sources

