Quantifying replicability and consistency in systematic reviews
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Abstract (arXiv)
Systematic reviews of interventions are important tools for synthesizing evidence from multiple studies. They serve to increase power and improve precision, in the same way that larger studies can do, but also to establish the consistency of effects and replicability of results across studies which are not identical. In this work we suggest to incorporate replicability analysis tools to quantify the consistency and conflict. These are offered both for the fixed-effect and for the random-effects meta-analyses. We motivate and demonstrate our approach and its implications by examples from systematic reviews from the Cochrane library, and offer a way to incorporate our suggestions in their standard reporting system.
Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). First posted on arXiv 16 Jul 2019.
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Citing papers per year: 2023: 1; 2024: 1.
2 papers.
- 2023Defining Replicability of Prediction Rulescited by 0
- 2024Generalizability of experimental studiescited by 0
- 2024Generalizability of experimental studies25 Jun 2024
- 2023Defining Replicability of Prediction Rules30 Apr 2023