Process / pipelineStatistical synthesis
Meta-Analysis
Meta-analysis is the statistical pooling of quantitative findings from multiple independent studies to produce a combined effect estimate. By aggregating data across studies, meta-analysis increases statistical power, reduces random error, and provides a precise summary of an intervention's effectiveness or an association's magnitude. Gene V. Glass coined the term in 1976, formalizing a technique that has become indispensable for evidence synthesis in medicine, psychology, education, and other evidence-based disciplines.
Find Topic with PaperMindSoonVideoSoon
Read the full method
Members only
Sign inSign in with a free account to read this section.
Sources
- Page, M. J., et al. (2021). The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ, 372, n71. DOI: 10.1136/bmj.n71 ↗
- Higgins, J. P., & Thompson, S. G. (2002). Quantifying heterogeneity in a meta-analysis. Statistics in Medicine, 21(11), 1539–1558. DOI: 10.1002/sim.1186 ↗
- Deeks, J. J., Higgins, J. P., & Altman, D. G. (2019). Analysing data and undertaking meta-analyses. In J. P. Higgins & J. Thomas (Eds.), Cochrane Handbook for Systematic Reviews of Interventions (Version 6.0). Cochrane. link ↗