Meta-analysis using individual participant data: one-stage and two-stage approaches, and why they may differ
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Abstract
Meta-analysis using individual participant data (IPD) obtains and synthesises the raw, participant-level data from a set of relevant studies. The IPD approach is becoming an increasingly popular tool as an alternative to traditional aggregate data meta-analysis, especially as it avoids reliance on published results and provides an opportunity to investigate individual-level interactions, such as treatment-effect modifiers. There are two statistical approaches for conducting an IPD meta-analysis: one-stage and two-stage. The one-stage approach analyses the IPD from all studies simultaneously, for example, in a hierarchical regression model with random effects. The two-stage approach derives aggregate data (such…
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Topics
Keywords
- Computer science
- Meta-analysis
- Stage (stratigraphy)
- Aggregate data
- Set (abstract data type)
- Raw data
- Aggregate (composite)
- Random effects model
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