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Poster #34 - An Effect Size for Variance Heterogeneity in Meta-Analysis

Tue, April 9, 10:25 to 11:55am, Metro Toronto Convention Centre, Floor: 300 Level, Hall C

Abstract

The difference in two coefficients of variation is proposed as an effect size to capture variance heterogeneity for two groups across a sample of studies, and five tests of homogeneity of this effect size were studied. Capturing within-study differences in variability across a sample
of studies should enhance understanding of treatment effects estimated by traditional mean-based effect sizes by providing information about the extent to which subjects in a treatment group responded similarly across studies, relative to a control group. Monte Carlo results suggested a test due to Miller-Feltz test can be used to test homogeneity of within-study variability.

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