High-dimensional variable selection and prediction under competing risks with application to SEER-Medicare linked data

Keyphrases

• SEER-Medicare 100%
• Competing Risks 100%
• Event Type 100%
• High-dimensional Variable Selection 100%
• Prediction Accuracy 50%
• Machine Learning Techniques 50%
• Medicare Data 50%
• Simulation Experiment 50%
• Regression Model 50%
• Patients with Prostate Cancer 50%
• Covariate Effect 50%
• Competing Risk Analysis 50%
• Multiple Causes 50%
• Cause-specific Hazard Model 50%
• Penalty Parameter 50%
• Event Time 50%
• SEER-Medicare Database 50%
• Cumulative Incidence Function 50%
• Subdistribution Hazard 50%
• High-dimensional Predictors 50%
• Non-cancer Death 50%

Computer Science

• Linked Data 100%
• Feature Selection 100%
• Event-Type 100%
• Risk Analysis 50%
• Time-Event 50%
• Covariate Effect 50%
• Simulation Experiment 50%
• Machine Learning 50%
• Learning System 50%

Mathematics

• Competing Risk 100%
• Event Type 100%
• Covariate 50%
• Regression Model 50%
• Risk Analysis 50%
• Incidence Function 50%
• Extensive Simulation Experiment 50%
• Event Time 50%