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

Citations

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Cited by:

  1. Xiong, Peihan & Hu, Taizhong, 2022. "On Samuel’s p-value model and the Simes test under dependence," Statistics & Probability Letters, Elsevier, vol. 187(C).
  2. Choi, Woohyun & Kim, Ilmun, 2023. "Averaging p-values under exchangeability," Statistics & Probability Letters, Elsevier, vol. 194(C).
  3. Li, Mengbing & Shi, Chengchun & Wu, Zhenke & Fryzlewicz, Piotr, 2025. "Testing stationarity and change point detection in reinforcement learning," LSE Research Online Documents on Economics 127507, London School of Economics and Political Science, LSE Library.
  4. Nabil Bouamara & S'ebastien Laurent & Shuping Shi, 2023. "Sequential Cauchy Combination Test for Multiple Testing Problems with Financial Applications," Papers 2303.13406, arXiv.org, revised Jun 2023.
  5. He Xu & Yuzhuo Ma & Lin-lin Xu & Yin Li & Yufei Liu & Ying Li & Xu-jie Zhou & Wei Zhou & Seunggeun Lee & Peipei Zhang & Weihua Yue & Wenjian Bi, 2025. "SPAGRM: effectively controlling for sample relatedness in large-scale genome-wide association studies of longitudinal traits," Nature Communications, Nature, vol. 16(1), pages 1-19, December.
  6. Yuzhuo Ma & Yanlong Zhao & Ji-Feng Zhang & Wenjian Bi, 2025. "Efficient and accurate framework for genome-wide gene-environment interaction analysis in large-scale biobanks," Nature Communications, Nature, vol. 16(1), pages 1-21, December.
  7. Juan Antonio Villatoro-García & Jordi Martorell-Marugán & Daniel Toro-Domínguez & Yolanda Román-Montoya & Pedro Femia & Pedro Carmona-Sáez, 2022. "DExMA: An R Package for Performing Gene Expression Meta-Analysis with Missing Genes," Mathematics, MDPI, vol. 10(18), pages 1-15, September.
  8. Wang, Guanpeng & Wu, Jiujing & Cui, Hengjian, 2024. "Cross projection test for mean vectors via multiple random splits in high dimensions," Journal of Multivariate Analysis, Elsevier, vol. 204(C).
  9. Daniele Massacci & Lucio Sarno & Lorenzo Trapani & Pierluigi Vallarino, 2025. "A general randomized test for Alpha," Papers 2507.17599, arXiv.org.
  10. Shilpa Nadimpalli Kobren & Mikhail A. Moldovan & Rebecca Reimers & Daniel Traviglia & Xinyun Li & Danielle Barnum & Alexander Veit & Rosario I. Corona & George de V. Carvalho Neto & Julian Willett & M, 2025. "Joint, multifaceted genomic analysis enables diagnosis of diverse, ultra-rare monogenic presentations," Nature Communications, Nature, vol. 16(1), pages 1-19, December.
  11. Lap Sum Chan & Gen Li & Eric B. Fauman & Xianyong Yin & Markku Laakso & Michael Boehnke & Peter X. K. Song, 2025. "DrFARM: identification of pleiotropic genetic variants in genome-wide association studies," Nature Communications, Nature, vol. 16(1), pages 1-14, December.
  12. Congran Yu & Hengjian Cui, 2025. "Feature screening via false discovery rate control for linear model with multivariate responses," Statistical Papers, Springer, vol. 66(2), pages 1-29, February.
  13. Seonghun Cho & Minsup Shin & Young Hyun Cho & Johan Lim, 2025. "Change point detection in high dimensional covariance matrix using Pillai’s statistics," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 109(1), pages 53-84, March.
  14. William R. Reay & Dylan J. Kiltschewskij & Maria A. Biase & Zachary F. Gerring & Kousik Kundu & Praveen Surendran & Laura A. Greco & Erin D. Clarke & Clare E. Collins & Alison M. Mondul & Demetrius Al, 2024. "Genetic influences on circulating retinol and its relationship to human health," Nature Communications, Nature, vol. 15(1), pages 1-20, December.
  15. Meida Wang & Shuanglin Zhang & Qiuying Sha, 2022. "A computationally efficient clustering linear combination approach to jointly analyze multiple phenotypes for GWAS," PLOS ONE, Public Library of Science, vol. 17(4), pages 1-13, April.
  16. David Ardia & S'ebastien Laurent & Rosnel Sessinou, 2024. "High-Dimensional Mean-Variance Spanning Tests," Papers 2403.17127, arXiv.org.
  17. Xiduo Chen & Xingdong Feng & Antonio F. Galvao & Yeheng Ge, 2025. "Treatment Effects Inference with High-Dimensional Instruments and Control Variables," Papers 2503.20149, arXiv.org.
  18. Chen Wang & Tianying Wang & Krzysztof Kiryluk & Ying Wei & Hugues Aschard & Iuliana Ionita-Laza, 2024. "Genome-wide discovery for biomarkers using quantile regression at biobank scale," Nature Communications, Nature, vol. 15(1), pages 1-13, December.
  19. Zichen Zhang & Ye Eun Bae & Jonathan R. Bradley & Lang Wu & Chong Wu, 2022. "SUMMIT: An integrative approach for better transcriptomic data imputation improves causal gene identification," Nature Communications, Nature, vol. 13(1), pages 1-12, December.
  20. Haque Md Rejuan & Kubatko Laura, 2024. "A global test of hybrid ancestry from genome-scale data," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 23(1), pages 1-18, January.
  21. Xiaoyu Song & Jiayi Ji & Joseph H. Rothstein & Stacey E. Alexeeff & Lori C. Sakoda & Adriana Sistig & Ninah Achacoso & Eric Jorgenson & Alice S. Whittemore & Robert J. Klein & Laurel A. Habel & Pei Wa, 2023. "MiXcan: a framework for cell-type-aware transcriptome-wide association studies with an application to breast cancer," Nature Communications, Nature, vol. 14(1), pages 1-15, December.
  22. Lulu Shang & Peijun Wu & Xiang Zhou, 2025. "Statistical identification of cell type-specific spatially variable genes in spatial transcriptomics," Nature Communications, Nature, vol. 16(1), pages 1-20, December.
  23. Joaquim Fernando Pinto da Costa & Manuel Cabral, 2022. "Statistical Methods with Applications in Data Mining: A Review of the Most Recent Works," Mathematics, MDPI, vol. 10(6), pages 1-22, March.
  24. Yuyu Chen & Ruodu Wang, 2024. "Infinite-mean models in risk management: Discussions and recent advances," Papers 2408.08678, arXiv.org, revised Oct 2024.
  25. Remo Monti & Pia Rautenstrauch & Mahsa Ghanbari & Alva Rani James & Matthias Kirchler & Uwe Ohler & Stefan Konigorski & Christoph Lippert, 2022. "Identifying interpretable gene-biomarker associations with functionally informed kernel-based tests in 190,000 exomes," Nature Communications, Nature, vol. 13(1), pages 1-16, December.
  26. Hong Zhang & Zheyang Wu, 2023. "The generalized Fisher's combination and accurate p‐value calculation under dependence," Biometrics, The International Biometric Society, vol. 79(2), pages 1159-1172, June.
  27. Vicente Gallego & Ramon Oller, 2024. "A Kernel approach for extending nonparametric multivariate analysis of variance in high-dimensional settings," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 33(5), pages 1315-1335, November.
  28. Yang Yu & Shuang Wang & Jinpu Li & Meichen Yu & Kyle McCrocklin & Jing-Qiong Kang & Anjun Ma & Qin Ma & Dong Xu & Juexin Wang, 2025. "TrimNN: characterizing cellular community motifs for studying multicellular topological organization in complex tissues," Nature Communications, Nature, vol. 16(1), pages 1-16, December.
  29. William R. Reay & Michael P. Geaghan & Murray J. Cairns, 2022. "The genetic architecture of pneumonia susceptibility implicates mucin biology and a relationship with psychiatric illness," Nature Communications, Nature, vol. 13(1), pages 1-16, December.
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