Variable selection for high‐dimensional partly linear additive Cox model with application to Alzheimer's disease

Q Wu, H Zhao, L Zhu, J Sun - Statistics in medicine, 2020 - Wiley Online Library
Variable selection has been discussed under many contexts and especially, a large
literature has been established for the analysis of right‐censored failure time data. In this …

Group variable selection for the Cox model with interval-censored failure time data

Y Wu, H Zhao, J Sun - Biometrics, 2023 - academic.oup.com
Group variable selection is often required in many areas, and for this many methods have
been developed under various situations. Unlike the individual variable selection, the group …

Group and within-group variable selection for competing risks data

KW Ahn, A Banerjee, N Sahr, S Kim - Lifetime data analysis, 2018 - Springer
Variable selection in the presence of grouped variables is troublesome for competing risks
data: while some recent methods deal with group selection only, simultaneous selection of …

Pathological imaging‐assisted cancer gene–environment interaction analysis

K Fang, J Li, Q Zhang, Y Xu, S Ma - Biometrics, 2023 - Wiley Online Library
Abstract Gene–environment (G–E) interactions have important implications for cancer
outcomes and phenotypes beyond the main G and E effects. Compared to main‐effect‐only …

An investigational modeling approach for improving gene selection using regularized Cox regression model

GYI Abdallh, ZY Algamal - Математическая биология и …, 2023 - mathnet.ru
By producing the required proteins, the process of gene expression establishes the physical
properties of living things. Gene expression from DNA or RNA may be recorded using a …

Variable Selection for Interval‐censored Failure Time Data

M Du, J Sun - International Statistical Review, 2022 - Wiley Online Library
Variable selection for interval‐censored failure time data has recently attracted a great deal
of attention along with the analysis of interval‐censored data in both method developments …

Variable selection with group structure in competing risks quantile regression

KW Ahn, S Kim - Statistics in medicine, 2018 - Wiley Online Library
We study the group bridge and the adaptive group bridge penalties for competing risks
quantile regression with group variables. While the group bridge consistently identifies …

A Network‐Constrain Weibull AFT Model for Biomarkers Discovery

C Angelini, D De Canditiis, I De Feis… - Biometrical …, 2024 - Wiley Online Library
We propose AFTNet, a novel network‐constraint survival analysis method based on the
Weibull accelerated failure time (AFT) model solved by a penalized likelihood approach for …

A Penalized Functional Linear Cox Regression Model for Spatially-defined Environmental Exposure with an Estimated Buffer Distance

J Lee, Z He, C Roscoe, P James, L Xu… - arXiv preprint arXiv …, 2023 - arxiv.org
In environmental health research, it is of interest to understand the effect of the
neighborhood environment on health. Researchers have shown a protective association …

Variable selection via generalized SELO-penalized cox regression models

Y Shi, D Xu, Y Cao, Y Jiao - Journal of Systems Science and Complexity, 2019 - Springer
Abstract The seamless-L 0 (SELO) penalty is a smooth function that very closely resembles
the L0 penalty, which has been demonstrated theoretically and practically to be effective in …