Improvement screening for ultra-high dimensional data with censored survival outcomes and varying coefficients
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Publication:6636148
DOI10.1515/IJB-2017-0024WikidataQ53590724 ScholiaQ53590724MaRDI QIDQ6636148
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Publication date: 12 November 2024
Published in: The International Journal of Biostatistics (Search for Journal in Brave)
varying-coefficient modelintegrated discrimination improvementnet reclassification improvementC-statisticsdiagnostic accuracy improvementultra-high dimensional data screening
Cites Work
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- Sure independence screening in generalized linear models with NP-dimensionality
- Regularization for Cox's proportional hazards model with NP-dimensionality
- Nonparametric independence screening and structure identification for ultra-high dimensional longitudinal data
- Principled sure independence screening for Cox models with ultra-high-dimensional covariates
- Hazard models with varying coefficients for multivariate failure time data
- Variable selection for Cox's proportional hazards model and frailty model
- Quantile-adaptive model-free variable screening for high-dimensional heterogeneous data
- Low-dimensional confounder adjustment and high-dimensional penalized estimation for survival analysis
- On Polya frequency functions. IV: The fundamental spline functions and their limits
- Censored rank independence screening for high-dimensional survival data
- Nonparametric Independence Screening in Sparse Ultra-High-Dimensional Additive Models
- Regularized Estimation in the Accelerated Failure Time Model with High-Dimensional Covariates
- Penalized Estimating Functions and Variable Selection in Semiparametric Regression Models
- Hypothesis testing in b-spline regression
- Partial likelihood
- Local Linear Estimation for Time‐Dependent Coefficients in Cox's Regression Models
- Efficient Estimation and Inferences for Varying-Coefficient Models
- Sure Independence Screening for Ultrahigh Dimensional Feature Space
- Statistical Estimation in Generalized Multiparameter Likelihood Models
- Survival impact index and ultrahigh‐dimensional model‐free screening with survival outcomes
- Assessing diagnostic accuracy improvement for survival or competing‐risk censored outcomes
- On the Cox Model With Time-Varying Regression Coefficients
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