Quick and Easy Implementation of the Benjamini-Hochberg Procedure for Controlling the False Positive Rate in Multiple Comparisons
By D. Thissen, L. Steinberg, Daniel C. Kuang. 2002
953 citations recorded by the source corpus.
Subfields: Management Science and Operations Research, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/1160ff2e2e0bd7a51f448bb695fd328cfe39ea0f
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In Management Science and Operations Research
In Statistics and Probability
- Jihye Kim
- Philip S. Yu
- Miriam Faust
- T. C. Oshima
- David Anaki
- Yoed N. Kenett
- L. Fahrig
- Glenn M. Cunnington
Citations in the corpus
- Plasticity in the vocalizations of anurans in response to traffic noise (2010, methodology): “Significance for the comparison of vocalization characteristics was then corrected by the BenjaminieHochberg procedure for controlling false positives in multiple comparisons (Thissen et al., 2002).”
- Deep Co-Investment Network Learning for Financial Assets (2018, methodology): “process as the Benjamini-Hochberg procedure [17] which aims to alleviate the multiple comparisons problem for a set of statistical tests when treating the weight estimation for each”
- Investigating the structure of semantic networks in low and high creative persons (2014, methodology): “A simple effect analysis [corrected for multiple comparisons using the Benjamin-Hochberg correction (Thissen et al., 2002)] was conducted on the average association responses for a given target word between the LSC and HSC groups.”
- Effect of Multiple Testing Adjustment in Differential Item Functioning Detection (2013, methodology): “Several research studies found that the BH false discovery rate was proved to yield much greater power than the widely used Bonferroni, which is based on controlling Type I error rates (Benjamini & Hochberg, 1995; Thissen et al., 2002; Williams, Jones, & Tukey, 1999).”