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Testing for heterogeneous effects in a case-control setting. The aim here to discover an association that is beyond a mean difference between all cases and all controls. Instead, the signal of interest here is present in only a proportion of the cases. This test should be more powerful than a t-test or Wilcoxon test in this heterogeneous setting. Please cite the corresponding paper: Mezlini et al. (2020) <doi:10.1101/2020.03.23.002972>.
Package details |
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Author | Aziz M. Mezlini [aut,cre,cph] |
Maintainer | Aziz M. Mezlini <mmezlini@mgh.harvard.edu> |
License | GPL-3 |
Version | 0.2.1 |
URL | https://www.biorxiv.org/content/10.1101/2020.03.23.002972v2 |
Package repository | View on CRAN |
Installation |
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