The Cauchy Combination Test under Arbitrary Dependence Structures | |
Long, Mingya1; Li, Zhengbang2; Zhang, Wei1; Li, Qizhai1 | |
刊名 | AMERICAN STATISTICIAN |
2022-10-08 | |
页码 | 9 |
关键词 | Cauchy combination test Cauchy distribution Copula p-value combination Sparse signals |
ISSN号 | 0003-1305 |
DOI | 10.1080/00031305.2022.2116109 |
英文摘要 | Aggregating multiple effects is often encountered in large-scale data analysis where the fraction of significant effects is generally small. Many existing methods cannot handle it effectively because of lack of computational accuracy for small p-values. The Cauchy combination test (abbreviated as CCT) ( J Am Statist Assoc, 2020, 115(529):393-402) is a powerful and computational effective test to aggregate individual $p$-values under arbitrary correlation structures. This work revisits CCT and shows three key contributions including that (i) the tail probability of CCT can be well approximated by a standard Cauchy distribution under much more relaxed conditions placed on individual p-values instead of the original test statistics; (ii) the relaxation conditions are shown to be satisfied for many popular copulas formulating bivariate distributions; (iii) the power of CCT is no less than that of the minimum-type test as the number of tests goes to infinity with some regular conditions. These results further broaden the theories and applications of CCT. The simulation results verify the theoretic results and the performance of CCT is further evaluated with data from a prostate cancer study. |
资助项目 | Beijing Natural Science Foundation[Z180006] |
WOS研究方向 | Mathematics |
语种 | 英语 |
出版者 | TAYLOR & FRANCIS INC |
WOS记录号 | WOS:000866053200001 |
内容类型 | 期刊论文 |
源URL | [http://ir.amss.ac.cn/handle/2S8OKBNM/60859] |
专题 | 中国科学院数学与系统科学研究院 |
通讯作者 | Li, Qizhai |
作者单位 | 1.Chinese Acad Sci, Univ Chinese Acad Sci, Acad Math & Syst Sci, Beijing, Peoples R China 2.Cent China Normal Univ, Wuhan, Peoples R China |
推荐引用方式 GB/T 7714 | Long, Mingya,Li, Zhengbang,Zhang, Wei,et al. The Cauchy Combination Test under Arbitrary Dependence Structures[J]. AMERICAN STATISTICIAN,2022:9. |
APA | Long, Mingya,Li, Zhengbang,Zhang, Wei,&Li, Qizhai.(2022).The Cauchy Combination Test under Arbitrary Dependence Structures.AMERICAN STATISTICIAN,9. |
MLA | Long, Mingya,et al."The Cauchy Combination Test under Arbitrary Dependence Structures".AMERICAN STATISTICIAN (2022):9. |
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