Article
Conditional asymptotic inference for the kernel association test.
Bioinformatics (Oxford, England) - 1 Dec 2017
Wang Kai
Abstract excerpt
MOTIVATION: The kernel association test (KAT) is popular in biological studies for its ability to combine weak effects potentially of opposite direction. Its P-value is typically assessed via its (unconditional) asymptotic distribution. However, such an asymptotic distribution is known only for continuous traits and for dichotomous traits. Furthermore, the derived P-values are known to be conservative when sample...
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