Score test variable screening
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Publication:3465363
DOI10.1111/biom.12209zbMath1393.62116OpenAlexW1810527969WikidataQ40542121 ScholiaQ40542121MaRDI QIDQ3465363
Publication date: 21 January 2016
Published in: Biometrics (Search for Journal in Brave)
Full work available at URL: http://hdl.handle.net/2027.42/109925
score testhigh-dimensional datafeature selectionprojected subgradient methodvariable screeningresampling-based procedure
Applications of statistics to biology and medical sciences; meta analysis (62P10) Estimation in survival analysis and censored data (62N02)
Related Items (9)
Statistical inference for nonignorable missing-data problems: a selective review ⋮ CONDITIONAL MARGINAL TEST FOR HIGH DIMENSIONAL QUANTILE REGRESSION ⋮ Feature selection of ultrahigh-dimensional covariates with survival outcomes: a selective review ⋮ Efficient estimation of the maximal association between multiple predictors and a survival outcome ⋮ Covariance-insured screening ⋮ Feature screening in ultrahigh-dimensional partially linear models with missing responses at random ⋮ An improved variable selection procedure for adaptive Lasso in high-dimensional survival analysis ⋮ Penalized full likelihood approach to variable selection for Cox's regression model under nested case-control sampling ⋮ Joint feature screening for ultra-high-dimensional sparse additive hazards model by the sparsity-restricted pseudo-score estimator
Cites Work
- Unnamed Item
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- Model-Free Feature Screening for Ultrahigh-Dimensional Data
- Sure independence screening in generalized linear models with NP-dimensionality
- Statistics for high-dimensional data. Methods, theory and applications.
- Robust rank correlation based screening
- Accelerated projected gradient method for linear inverse problems with sparsity constraints
- Fast global convergence of gradient methods for high-dimensional statistical recovery
- Principled sure independence screening for Cox models with ultra-high-dimensional covariates
- Estimating regression parameters using linear rank tests for censored data
- Quantile regression under random censoring.
- Quantile-adaptive model-free variable screening for high-dimensional heterogeneous data
- Higher criticism thresholding: Optimal feature selection when useful features are rare and weak
- Nonparametric Independence Screening in Sparse Ultra-High-Dimensional Additive Models
- Survival Analysis With Quantile Regression Models
- Regularized Estimation for the Accelerated Failure Time Model
- Analysis of transformation models with censored data
- Rank-based inference for the accelerated failure time model
- Censored Regression Quantiles
- Feature Screening via Distance Correlation Learning
- Locally Weighted Censored Quantile Regression
- Probability Inequalities for Sums of Bounded Random Variables
- On Corrected Score Approach for Proportional Hazards Model with Covariate Measurement Error
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