The Cauchy Combination Test under Arbitrary Dependence Structures

Mingya Long, Zhengbang Li, Wei Zhang & Qizhai Li
Combining individual p-values to perform an overall test is often encountered in statistical applications. The Cauchy combination test (CCT) (Journal of the American Statistical Association, 2020, 115, 393–402) is a powerful and computationally efficient approach to integrate individual p-values under arbitrary dependence structures for sparse signals. We revisit this test to additionally show that (i) the tail probability of the CCT can be approximated just as well when more relaxed assumptions are imposed on individual...
1 citation reported since publication in 2022.
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