False discovery rate control for high-dimensional Cox model with uneven data splitting

IF 1.1 4区数学 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Journal of Statistical Computation and Simulation Pub Date : 2023-12-07 DOI:10.1080/00949655.2023.2290135

Yeheng Ge, Sijia Zhang, Xiao Zhang

引用次数: 0

Abstract

Statistical inference for high-dimensional survival data is important for obtaining valid scientific results in many research areas, including biomedical studies and financial risk management. In t...

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具有不均匀数据分割的高维 Cox 模型的误发现率控制

在生物医学研究和金融风险管理等许多研究领域，高维生存数据的统计推断对于获得有效的科学结果非常重要。在这...

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来源期刊

Journal of Statistical Computation and Simulation 数学-计算机：跨学科应用

CiteScore

2.30

自引率

8.30%

发文量

156

审稿时长

4-8 weeks

期刊介绍： Journal of Statistical Computation and Simulation ( JSCS ) publishes significant and original work in areas of statistics which are related to or dependent upon the computer. Fields covered include computer algorithms related to probability or statistics, studies in statistical inference by means of simulation techniques, and implementation of interactive statistical systems. JSCS does not consider applications of statistics to other fields, except as illustrations of the use of the original statistics presented. Accepted papers should ideally appeal to a wide audience of statisticians and provoke real applications of theoretical constructions.