Variable screening for varying coefficient models with ultrahigh-dimensional survival data
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Publication:2143009
DOI10.1016/j.csda.2022.107498OpenAlexW4225924346MaRDI QIDQ2143009
Lianqiang Qu, Xiao-yu Wang, Liu-Quan Sun
Publication date: 30 May 2022
Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.csda.2022.107498
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Cites Work
- Sure independence screening in generalized linear models with NP-dimensionality
- Regularization for Cox's proportional hazards model with NP-dimensionality
- Principled sure independence screening for Cox models with ultra-high-dimensional covariates
- Screening group variables in the proportional hazards model
- Identification of local sparsity and variable selection for varying coefficient additive hazards models
- Conditional screening for ultra-high dimensional covariates with survival outcomes
- Variable selection for Cox's proportional hazards model and frailty model
- Quantile-adaptive model-free variable screening for high-dimensional heterogeneous data
- A non-marginal variable screening method for the varying coefficient Cox model
- Forward regression for Cox models with high-dimensional covariates
- Feature screening in ultrahigh-dimensional varying-coefficient Cox model
- Asymptotic properties of bridge estimators in sparse high-dimensional regression models
- Variable selection in Cox regression models with varying coefficients
- Joint structure selection and estimation in the time-varying coefficient Cox model
- Univariate Shrinkage in the Cox Model for High Dimensional Data
- Model Selection for Cox Models with Time-Varying Coefficients
- Censored rank independence screening for high-dimensional survival data
- Varying coefficient transformation models with censored data
- Integrated powered density: Screening ultrahigh dimensional covariates with survival outcomes
- On varying-coefficient independence screening for high-dimensional varying-coefficient models
- Sure Independence Screening for Ultrahigh Dimensional Feature Space
- Feature Selection for Varying Coefficient Models With Ultrahigh-Dimensional Covariates
- Independent Screening for Single-Index Hazard rate Models with Ultrahigh Dimensional Features
- Conditional quantile screening in ultrahigh-dimensional heterogeneous data
- Survival impact index and ultrahigh‐dimensional model‐free screening with survival outcomes
- Adaptive Lasso for Cox's proportional hazards model
- Feature screening in ultrahigh dimensional cox's model
- On the Cox Model With Time-Varying Regression Coefficients
