csmpv7 months ago
I Installation | II Example Code | 1. Example data | 2. Biomarker confirmation/validation | 2.1 Binary outcome | 2.2 Continous outcome | 2.3 Time-to-event outcome | 3. Biomarker discovery with variable selection | 3.1 Variable selection with LASSO2 | 3.1.1 Binary outcome | 3.1.2 Continuous outcome | 3.1.3 Time-to-event outcome | 3.2 Variable selection with LASSO2plus | Binary outcome | Continuous outcome | Time-to-event outcome | 3.3. Variable selection with LASSO_plus | 4. Predictive model development | 4.1 LASSO2 | 4.2 LASSO2 + regular regression | 4.3 LASSO_plus | 4.4 LASSO2plus | 4.5 XGBoost | 4.6 LASSO2 + XGBoost | 4.7 LASSO_plus + XGBoost | 4.8 LASSO2plus + XGBoost | 5. Model prediction | 5.1 LASSO2 prediction | Binary ouctome | Continuous ouctome | Time-to-event ouctome | 5.2 LASSO2 + regular regression prediction | 5.3 LASSO_plus prediction | 5.4 LASSO2plus prediction | 5.5 XGBoost prediction | 5.6 LASSO2 + XGBoost prediction | 5.7 LASSO_plus + XGBoost prediction | 1) Binary ouctome | 2) Continuous ouctome | 3) Time-to-event ouctome | 5.8 LASSO2plus + XGBoost prediction | 6. (External) Model Validation | 6.1 LASSO2 validation | 6.2 LASSO2 + regular regression validation | 6.3 LASSO_plus validation | 6.4 LASSO2plus validation | 6.5 XGBoost validation | 6.6 LASSO2 + XGBoost validation | 6.7 LASSO_plus + XGBoost validation | 6.8 LASSO2plus + XGBoost validation | 7. All-in-one! | 8. Special modelling | csmpv R package general information | References
