Meta-analysis

Study heterogeneity

In statistics, (between-) study heterogeneity is a phenomenon that commonly occurs when attempting to undertake a meta-analysis. In a simplistic scenario, studies whose results are to be combined in the meta-analysis would all be undertaken in the same way and to the same experimental protocols. Differences between outcomes would only be due to measurement error (and studies would hence be homogeneous). Study heterogeneity denotes the variability in outcomes that goes beyond what would be expected (or could be explained) due to measurement error alone. (Wikipedia).

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From playlist Data Analytics and Geostatistics

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From playlist Introduction to Homotopy Theory

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From playlist New AP & General Chemistry Video Playlist

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From playlist Machine Learning & Causal Inference: A Short Course

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Related pages

Meta-regression | Fixed effects model | Statistics | Estimator | Null hypothesis | Standard error | Unit of measurement | Power of a test | William Gemmell Cochran | Scale parameter | Variance | Categorical variable | Observational error | Random effects model | Estimand | Effect size | Normal distribution | Standard deviation | Coefficient of determination | Meta-analysis | Odds ratio | Relative risk | Bayesian inference