Cauchy Combination Test: A Powerful Test With Analytic p-Value Calculation Under Arbitrary Dependency Structures

Abstract-Combining individual p-values to aggregate multiple small effects has a long-standing interest in statistics, dating back to the classic Fisher's combination test. In modern large-scale data analysis, correlation and sparsity are common features and efficient computation is a necessary...

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Vydáno v:	Journal of the American Statistical Association Ročník 115; číslo 529; s. 393 - 402
Hlavní autoři:	Liu, Yaowu, Xie, Jun
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	United States Taylor & Francis 02.01.2020 Taylor & Francis Ltd
Témata:	Arbitrariness Cauchy distribution Computation Computer simulation Correlation analysis Correlation matrix Data analysis Dependence Dependency Dependency grammar Distribution Genomics Global hypothesis testing High-dimensional data Mathematical analysis Nonasymptotic approximation Power Regression analysis Sparse alternative Sparsity Statistical methods Statistical tests Statistics Transformation Values Global hypothesis testing Sparse alternative Non-asymptotic approximation High dimensional data Cauchy distribution Correlation matrix
ISSN:	0162-1459, 1537-274X
On-line přístup:	Získat plný text
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