Work

Hierarchical false discovery rate control for high-dimensional survival analysis with interactions

Year: 2023

Type: article

Source: Computational Statistics & Data Analysis

DOI: 10.1016/j.csda.2023.107906

Authors: Weijuan Liang, Qingzhao Zhang, Shuangge Ma

Institutions: Yale University, Xiamen University

Language: English

Topic: Statistical Methods and Inference

Subfield: Statistics and Probability

Field: Mathematics

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: bronze

Funders: National Bureau of Statistics of China, Renmin University of China, National University's Basic Research Foundation of China, National Institutes of Health, Fundamental Research Funds for the Central Universities, National Cancer Institute, National Center for Advancing Translational Sciences

Awards: G1044130170, G2000610898, Novel Methods for Identifying Genetic Interactions for Cancer Prognosis, G5469525088, G6854599904, G8823024779, Yale Clinical and Translational Science Award

OpenAlex ID: W4389328763

FWCI: 0.982

Cites: 39

Cited by: 5

Related to: 10