Robust variable selection methods with Cox model-a selective practical benchmark study.

ABSTRACT: With the advancement of biological and medical techniques, we can now obtain large amounts of high-dimensional omics data with censored survival information. This presents challenges in method development across various domains, particularly in variable selection. Given the inherently skewed distribution of the survival time outcome variable, robust variable selection methods offer potential solutions. Recently, there has been a focus on extending robust variable selection methods from linear regression models to survival models. However, despite these developments, robust methods are currently rarely used in practical applications, possibly due to a limited appreciation of their overall good performance. To address this gap, we conduct a selective review comparing the variable selection p

SUBMITTER: Zhang Y 

PROVIDER: S-EPMC11472364 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature