Background Individual patient data (IPD) meta‐analysis allows for the exploration of
heterogeneity and can identify subgroups that most benefit from an intervention (or …

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 …

Stratified medicine utilizes individual‐level covariates that are associated with a differential
treatment effect, also known as treatment‐covariate interactions. When multiple trials are …

Background Researchers and funders should consider the statistical power of planned
Individual Participant Data (IPD) meta-analysis projects, as they are often time-consuming …

Background Meta-analyses (MA) based on individual patient data (IPD) are regarded as the
gold standard for meta-analyses and are becoming increasingly common, having several …

Background Meta-analyses based on individual patient data (IPD) are regarded as the gold
standard for systematic reviews. However, the methods used for analysing and presenting …

Precision medicine research often searches for treatment‐covariate interactions, which
refers to when a treatment effect (eg, measured as a mean difference, odds ratio, hazard …

Objectives: To compare meta-analysis of summary study level data with the equivalent
individual patient data (IPD) analysis when interest lies in identification of binary patient …

Background A fundamental aspect of epidemiological studies concerns the estimation of
factor-outcome associations to identify risk factors, prognostic factors and potential causal …

OBJECTIVES: Individual participant data (IPD) meta-analyses often analyze their IPD as if
coming from a single study. We compare this approach with analyses that rather account for …