Sensitivity of between-study heterogeneity in meta-analysis: proposed metrics and empirical evaluation.
By N. Patsopoulos, Evangelos Evangelou, John P. A. Ioannidis. International Journal of Epidemiology, 2008
1,035 citations recorded by the source corpus.
Subfields: Ecology, Evolution, Behavior and Systematics, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/a554b15b3f82aed4801ddb5f795722860bd65856
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In Ecology, Evolution, Behavior and Systematics
In Statistics and Probability
- Sally Hopewell
- Douglas G. Altman
- Long Zhai
- Dongfeng Zhang
- Hua Zhang
- Leah Levac
- Linda Duffett-Leger
- Nicole Letourneau
Citations in the corpus
- Atrial fibrillation and risks of cardiovascular disease, renal disease, and death: systematic review and meta-analysis (2016, background): “21 We sequentially and cumulatively excluded studies that accounted for the largest share of heterogeneity until I 2 was less than 50%.”
- Aerosol Generating Procedures and Risk of Transmission of Acute Respiratory Infections to Healthcare Workers: A Systematic Review (2012, background): “In a random-effects model, the between-studies variance or I(2), reflects how much the true population effect sizes differ from single studies of a meta-analysis [30].”
- Improving the visualization, interpretation and analysis of two-sample summary data Mendelian randomization via the Radial plot and Radial regression (2018, neutral): “Procedures such as this have been proposed when meta-analysing separate study results, 20 but have been criticized for being too data-driven, likely to throw out larger studies than smaller studies and offering little explanation as to the underlying cause of heterogeneity.”
- Socioeconomic Status and Child Development (2013, methodology): “As suggested by Patsopoulos, Evangelou, and Ioannidis (2008b), a threshold for the heterogeneity statistic (I2) was sought.”
- SLEEP DURATION AND DEPRESSION AMONG ADULTS: A META‐ANALYSIS OF PROSPECTIVE STUDIES (2015, methodology): “The sensitivity analysis [13] was conducted to evaluate the key studies that have substantial impact on the betweenstudy heterogeneity, and then re-estimate the effect after excluding the studies that exert substantial impact on the between-study heterogeneity.”