Variable selection and risk prediction using a penalised modelling framework for high-dimensional data in a nested matched case-control design

Mathematics

• Case-control 100%
• Control Design 93%
• High-dimensional Data 88%
• Variable Selection 79%
• Prediction 61%
• Modeling 49%
• Framework 43%
• Conditional Logistic Regression 40%
• Prediction Model 32%
• Biomarkers 32%
• Mortality 28%
• Profile 21%
• Heart Failure 21%
• Matched Case-control Study 19%
• Elastic Net 18%
• Receiver Operating Characteristic Curve 15%
• Curve 15%
• Intercept 15%
• Logistic Regression Model 15%
• Lasso 15%
• Genome 14%
• Adjustment 12%
• Predict 11%
• Predictors 11%
• Model-based 11%
• Entire 10%
• Covariates 10%
• High-dimensional 10%
• Methodology 9%
• Model 8%
• Design 7%