Disease progression based feature screening for ultrahigh-dimensional survival-associated biomarkers

Cites Work

Model-Free Feature Screening for Ultrahigh-Dimensional Data
Robust rank correlation based screening
Principled sure independence screening for Cox models with ultra-high-dimensional covariates
Censored mean variance sure independence screening for ultrahigh dimensional survival data
Correlation rank screening for ultrahigh-dimensional survival data
Conditional screening for ultra-high dimensional covariates with survival outcomes
Model-free feature screening for ultrahigh dimensional censored regression
On semi-competing risks data
Censored rank independence screening for high-dimensional survival data
Nonparametric Independence Screening in Sparse Ultra-High-Dimensional Additive Models
Level Sets and Extrema of Random Processes and Fields
Regression Analysis Based on Semicompeting Risks Data
A simple nonparametric estimator of the bivariate survival function under univariate censoring
Sure Independence Screening for Ultrahigh Dimensional Feature Space
Estimating the Association Parameter for Copula Models Under Dependent Censoring
Estimates of marginal survival for dependent competing risks based on an assumed copula
Joint regression analysis for survival data in the presence of two sets of semi‐competing risks
Joint variable screening in the censored accelerated failure time model
Model-Free Feature Screening for Ultrahigh Dimensional Discriminant Analysis
Estimating Survival and Association in a Semicompeting Risks Model
A martingale approach to the copula-graphic estimator for the survival function under dependent censoring

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