Structured Screen-and-Select Variable Selection in Linear, Generalized Linear, and Survival Models
Bridge-Penalized AFT Regression via Iteratively Reweighted LASSO
Identify Leading Sets of Covariates via Inter-Predictor Associations
Screening Predictors As 'Leading Variables' By Evaluating Predictor-Re...
Screening Predictors As 'Leading Variables' By Evaluating Predictor-Re...
Screening Predictors As "Leading Variables" By Evaluating Predictor-Re...
Screening Predictors As 'Leading Variables' By Evaluating Predictor-Re...
Decide Whether to Run Another S3VS Iteration
Prediction Using S3VS-Selected Predictors in Survival Models
Prediction Using S3VS-Selected Predictors in Linear Models
Predicted Survival Probabilities Using S3VS-Selected Predictors in Gen...
Prediction Using S3VS-Selected Predictors
Aggregate Not-Selected Predictors for Removal Across Multiple Leading ...
Structured Screen-and-Select Variable Selection in Generalized Linear ...
Structured Screen-and-Select Variable Selection in Linear Models
Structured Screen-and-Select Variable Selection in Survival Models
Structured Screen-and-Select Variable Selection in Linear, Generalized...
Structured Screen-and-Select Variable Selection in Linear, Generalized...
Aggregate Selected Predictors Across Multiple Leading Sets
Update Response Accounting for Selected Predictors in Generalized Line...
Update Response Accounting for Selected Predictors in Linear Models
Update Response Accounting for Selected Predictors
Variable Selection in Leading Sets for Generalized Linear Models under...
Variable Selection in Leading Sets for Linear Models under the S3VS Fr...
Variable Selection in Leading Sets for Survival Models under the S3VS ...
Variable Selection in Leading Sets under the S3VS Framework
Performs variable selection using the structured screen-and-select (S3VS) framework in linear models, generalized linear models with binary data, and survival models such as the Cox model and accelerated failure time (AFT) model.