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 …
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 …
been developed under various situations. Unlike the individual variable selection, the group …
Group and within-group variable selection for competing risks data
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 …
data: while some recent methods deal with group selection only, simultaneous selection of …
Pathological imaging‐assisted cancer gene–environment interaction analysis
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 …
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 …
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 …
of attention along with the analysis of interval‐censored data in both method developments …
Variable selection with group structure in competing risks quantile regression
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 …
quantile regression with group variables. While the group bridge consistently identifies …
A Network‐Constrain Weibull AFT Model for Biomarkers Discovery
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 …
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
In environmental health research, it is of interest to understand the effect of the
neighborhood environment on health. Researchers have shown a protective association …
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 …
the L0 penalty, which has been demonstrated theoretically and practically to be effective in …