Combining Independent Permutation p Values Associated with Mann-Whitney Test Data

Yonghwan Um

doi:10.9708/jksci.2018.23.07.099

In this paper, we compare Fisher’s continuous method with an exact discrete analog of Fisher’s continuous method from permutation tests for combining p values. The discrete analog of Fisher’s continuous method is known to be adequate for combining independent p values from discrete probability distributions. Also permutation tests are widely used as alternatives to conventional parametric tests since these tests are distribution-free, and yield discrete probability distributions and exact p values. In this paper, we obtain permutation p values from discrete probability distributions using Mann-Whitney test data sets (real data and hypothetical data) and combine p values by the exact discrete analog of Fisher’s continuous method.

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* 2021년 이후 발행 논문의 참고문헌은 현재 구축 중입니다.

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