Pages that link to "Item:Q5450464"
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The following pages link to Doubly Penalized Buckley–James Method for Survival Data with High‐Dimensional Covariates (Q5450464):
Displaying 33 items.
- Variable selection for survival data with a class of adaptive elastic net techniques (Q294255) (← links)
- Variable selection in the accelerated failure time model via the bridge method (Q746027) (← links)
- An easy-to-implement hierarchical standardization for variable selection under strong heredity constraint (Q777839) (← links)
- Survival prediction using gene expression data: a review and comparison (Q961312) (← links)
- Lower confidence limit for reliability based on grouped data using a quantile-filling algorithm (Q1623478) (← links)
- Sparse integrative clustering of multiple omics data sets (Q1951531) (← links)
- On Lasso for censored data (Q1951988) (← links)
- Low-dimensional confounder adjustment and high-dimensional penalized estimation for survival analysis (Q2013304) (← links)
- Model pursuit and variable selection in the additive accelerated failure time model (Q2062404) (← links)
- Broken adaptive ridge regression for right-censored survival data (Q2075449) (← links)
- Bayesian penalized Buckley-James method for high dimensional bivariate censored regression models (Q2134161) (← links)
- Stability selection for Lasso, ridge and elastic net implemented with AFT models (Q2195264) (← links)
- Buckley-James boosting for survival analysis with high-dimensional biomarker data (Q2254461) (← links)
- Penalized spline estimation in varying coefficient models with censored data (Q2273026) (← links)
- Penalized Gaussian process regression and classification for high-dimensional nonlinear data (Q2893384) (← links)
- High-Dimensional Variable Selection in Meta-Analysis for Censored Data (Q3013980) (← links)
- Variable Selection for Panel Count Data via Non-Concave Penalized Estimating Function (Q3077761) (← links)
- A fast algorithm for the accelerated failure time model with high-dimensional time-to-event data (Q3390327) (← links)
- Regularized Estimation for the Accelerated Failure Time Model (Q3636981) (← links)
- Empirical Likelihood For Censored Partial Linear Model Based On Imputed Value (Q4921629) (← links)
- Bayesian Hierarchical Varying-Sparsity Regression Models with Application to Cancer Proteogenomics (Q5229891) (← links)
- Estimating Mean Survival Time: When is it Possible? (Q5251484) (← links)
- Quantile Regression with Left-Truncated and Right-Censored Data in a Reproducing Kernel Hilbert Space (Q5265847) (← links)
- Weighted least squares model averaging for accelerated failure time models (Q6115536) (← links)
- -Penalized Pairwise Difference Estimation for a High-Dimensional Censored Regression Model (Q6190327) (← links)
- Regularized Buckley-James method for right-censored outcomes with block-missing multimodal covariates (Q6544014) (← links)
- A Mallows-type model averaging estimator for ridge regression with randomly right censored data (Q6606958) (← links)
- Rank-based sequential feature selection for high-dimensional accelerated failure time models with main and interaction effects (Q6626705) (← links)
- High-dimensional single-index models with censored responses (Q6627541) (← links)
- Variable selection for censored data using modified correlation adjusted correlation (MCAR) scores (Q6628007) (← links)
- Robust estimation and variable selection for the accelerated failure time model (Q6628482) (← links)
- A network-constrain Weibull AFT model for biomarkers discovery (Q6649357) (← links)
- Censored broken adaptive ridge regression in high-dimension (Q6661273) (← links)
