Pages that link to "Item:Q3436529"

The following pages link to Regularized Estimation in the Accelerated Failure Time Model with High-Dimensional Covariates (Q3436529):

Displaying 50 items.

• Variable selection for survival data with a class of adaptive elastic net techniques (Q294255) (← links)
• Adjusted regularized estimation in the accelerated failure time model with high dimensional covariates (Q391867) (← links)
• LASSO and shrinkage estimation in Weibull censored regression models (Q434515) (← links)
• Variable selection in the accelerated failure time model via the bridge method (Q746027) (← links)
• A tutorial on rank-based coefficient estimation for censored data in small- and large-scale problems (Q746299) (← links)
• The additive hazards model with high-dimensional regressors (Q841068) (← links)
• Variable selection for high-dimensional genomic data with censored outcomes using group Lasso prior (Q1654247) (← links)
• Robust estimators of accelerated failure time regression with generalized log-gamma errors (Q1658482) (← links)
• Identification of proportionality structure with two-part models using penalization (Q1659176) (← links)
• Regularized estimation for the least absolute relative error models with a diverging number of covariates (Q1659468) (← links)
• Semiparametric Bayesian inference for accelerated failure time models with errors-in-covariates and doubly censored data (Q1697681) (← links)
• High dimensional censored quantile regression (Q1747740) (← links)
• Identification of breast cancer prognosis markers via integrative analysis (Q1927047) (← links)
• On Lasso for censored data (Q1951988) (← links)
• Multi-threshold accelerated failure time model (Q1991672) (← links)
• Inference under Fine-Gray competing risks model with high-dimensional covariates (Q2008618) (← links)
• Low-dimensional confounder adjustment and high-dimensional penalized estimation for survival analysis (Q2013304) (← links)
• Boosted nonparametric hazards with time-dependent covariates (Q2054480) (← links)
• Reproducible feature selection in high-dimensional accelerated failure time models (Q2070645) (← links)
• Sparsity-restricted estimation for the accelerated failure time model (Q2073554) (← links)
• Broken adaptive ridge regression for right-censored survival data (Q2075449) (← links)
• Scalable estimation and inference for censored quantile regression process (Q2105200) (← links)
• \(\ell_0\)-regularized high-dimensional accelerated failure time model (Q2129574) (← links)
• Bayesian penalized Buckley-James method for high dimensional bivariate censored regression models (Q2134161) (← links)
• Adaptive penalized weighted least absolute deviations estimation for the accelerated failure time model (Q2194752) (← links)
• Stability selection for Lasso, ridge and elastic net implemented with AFT models (Q2195264) (← links)
• Weighted least squares method for the accelerated failure time model with auxiliary covariates (Q2311736) (← links)
• Parameter estimation of partial linear model under monotonicity constraints with censored data (Q2515856) (← links)
• Additive Bayesian variable selection under censoring and misspecification (Q2684685) (← links)
• Adaptive Lasso Variable Selection for the Accelerated Failure Models (Q2892638) (← links)
• Covariate Selection for the Semiparametric Additive Risk Model (Q3077760) (← links)
• Rank-based estimation in the ℓ1-regularized partly linear model for censored outcomes with application to integrated analyses of clinical predictors and gene expression data (Q3304984) (← links)
• A fast algorithm for the accelerated failure time model with high-dimensional time-to-event data (Q3390327) (← links)
• Penalised variable selection with U-estimates (Q3569216) (← links)
• ACCELERATED FAILURE TIME MODELS WITH NONLINEAR COVARIATES EFFECTS (Q3592380) (← links)
• Regularized Estimation for the Accelerated Failure Time Model (Q3636981) (← links)
• Predicting Patient Survival from Proteomic Profile using Mass Spectrometry Data: An Empirical Study (Q4921574) (← links)
• Robust gene–environment interaction analysis using penalized trimmed regression (Q4960775) (← links)
• Cross‐validation and peeling strategies for survival bump hunting using recursive peeling methods (Q4970180) (← links)
• Covariate selection for accelerated failure time data (Q4976275) (← links)
• Rates of convergence of the adaptive elastic net and the post-selection procedure in ultra-high dimensional sparse models (Q5079021) (← links)
• A group bridge approach for component selection in nonparametric accelerated failure time additive regression model (Q5079492) (← links)
• Variable selection in the high-dimensional continuous generalized linear model with current status data (Q5128593) (← links)
• Shrinkage estimation in lognormal regression model for censored data (Q5138524) (← links)
• On dealing with censored largest observations under weighted least squares (Q5221566) (← links)
• Inference for Low-Dimensional Covariates in a High-Dimensional Accelerated Failure Time Model (Q5226613) (← links)
• Greedy outcome weighted tree learning of optimal personalized treatment rules (Q5283293) (← links)
• Heuristic Ranking Classification Method for Complex Large-Scale Survival Data (Q5357735) (← links)
• An overview of techniques for linking high‐dimensional molecular data to time‐to‐event endpoints by risk prediction models (Q5391149) (← links)
• Assessment of evaluation criteria for survival prediction from genomic data (Q5391153) (← links)