2 papers
stat.ME2026
Leveraging machine learning to estimate individualized treatment effects in cluster-randomized trials
Changjun Li, Xi Fang, Michael O. Harhay +4
Cluster-randomized trials (CRTs) are widely used to evaluate interventions delivered at the clinic, practice, or community level. Although standard analyses typically target averag…
stat.ME2025
Quantifying inconsistency in one-stage individual participant data meta-analyses of treatment-covariate interactions: a simulation study
Myra B. McGuinness, Joanne E. McKenzie, Andrew Forbes +4
It is recommended that measures of between-study effect heterogeneity be reported when conducting individual-participant data meta-analyses (IPD-MA). Methods exist to quantify inco…