Correlation-based joint feature screening for semi-competing risks outcomes with application to breast cancer data

• Main Authors: Peng, Mengjiao, Xiang, Liming
• 其他作者: School of Physical and Mathematical Sciences
• 格式: Article
• 語言: English
• 出版: 2022
• 主題: Science::Mathematics; Gene Expression Data; Joint Survival Function
• 在線閱讀: https://hdl.handle.net/10356/157027

Ultrahigh-dimensional gene features are often collected in modern cancer studies in which the number of gene features p is extremely larger than sample size n. While gene expression patterns have been shown to be related to patients' survival in microarray-based gene expression studies, one has...