Quantifying Replicability and Consistency in Systematic Reviews

Systematic reviews and meta-analyses are important tools for synthesizing evidence from multiple studies. They serve to increase power improve precision, in the same way that large studies can do, but also establish consistency of effects replicability results across In this work we propose statistical quantify effect signs (or directions) their consistency. We suggest these accompany fixed-effect or random-effects meta-analysis, show they convey information assessment intervention under investigation. motivate demonstrate our approach its implications by examples systematic Cochrane Library. Our make no assumptions on distribution true sizes, so inferential guarantees continue hold even if models do not hold. develop a version tool assumption cases where it is crucial justified.