Robust Confidence Intervals for Effect Sizes: A Comparative Study of Cohen's d and Cliff's Delta Under Non-normality and Heterogeneous Variances

By M. Hess, Jeffrey D. Kromrey. 2004

162 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/b042a70162663d0c1d9a335fb79c15bd1428321a

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1. Yangruibo Ding
2. Saikat Chakraborty
3. Baishakhi Ray
4. Rahul Krishna
5. Yi Li
6. Vincent J. Hellendoorn
7. Michael Fu
8. Wasi Uddin Ahmad

Citations in the corpus

• Deep Learning Based Vulnerability Detection: Are We There Yet? (2020, methodology): “ther, when we perform the A12 effect size [50] with 30 independent experiment runs in each case, we found that the the effect size is 81 percent for REVEAL dataset and 73 percent for FFMPeg+Qemu.”