Introduction | Installation | Getting ready | Input data | Exploratory Analysis and Data Processing | Event Distribution | Event Per Variable (EVP) | Preprocessing Categorical Variables for Dimensionality Reduction | Training/Test Split for Survival Model Validation | Survival Models | Classical approaches | Cox | Cox SW | HD methods for Survival Analyses | Cox Elastic Net | sPLS-ICOX | sPLS-DRCOX | sPLS-DACOX | Model Validation | Survival Models' Comparison | Computing Time Comparison (Cross-Validation Model's time) | Evaluating the Proportional Hazards Assumption | Model Interpretation | Forest Plots for Cox Model Interpretation | Predicted Value Distribution by Event Status | Variable or Component Contributions in Coxmos Models | Visualizing sPLS Models for Survival Analysis | Interpreting original variables in sPLS Components: Pseudobeta Coefficients | Kaplan-Meier Curves for Visualizing Survival Differences | Full Model-Based Stratification | Component-Level Kaplan-Meier Model-Based Stratification | Variable-Level Kaplan-Meier Curves | Prediction and Evaluation on New Observations | Single Patient Analysis | Predicted Value Distribution for new observations | Pseudobeta's Consistenc for new observation | Multiple new observation comparison | Variable or Component Contributions for Test Data | Multiple Linear Predictors Study | Kaplan-Meier Curves on Test Set | Test KM Based on Linear Predictor (LP) | Test KM Based on Components (COMP) | Test KM Based on Original Variables (VAR)

Introduction | Installation | Getting ready | Input data | Exploratory Analysis and Data Processing | Event Distribution | Event Per Variable (EVP) | Preprocessing Categorical Variables for Dimensionality Reduction | Training/Test Split for Survival Model Validation | Survival Models for Multi-Block datasets | MB methods for Survival Analyses | SB.sPLS-ICOX | SB.sPLS-DRCOX | SB.sPLS-DACOX | MB.sPLS-DRCOX | MB.sPLS-DACOX | Model Validation | Survival Models' Comparison | Computing Time Comparison (Cross-Validation Model's time) | Evaluating the Proportional Hazards Assumption | Model Interpretation | Forest Plots for Cox Model Interpretation | Predicted Value Distribution by Event Status | Variable or Component Contributions in Coxmos Models | Visualizing sPLS Models for Survival Analysis | Interpreting original variables in sPLS Components: Pseudobeta Coefficients | Kaplan-Meier Curves for Visualizing Survival Differences | Full Model-Based Stratification | Component-Level Kaplan-Meier Model-Based Stratification | Variable-Level Kaplan-Meier Curves | Prediction and Evaluation on New Observations | Single Patient Analysis | Predicted Value Distribution for new observations | Pseudobeta's Consistenc for new observation | Multiple new observation comparison | Variable or Component Contributions for Test Data | Multiple Linear Predictors Study | Kaplan-Meier Curves on Test Set | Test KM Based on Linear Predictor (LP) | Test KM Based on Components (COMP) | Test KM Based on Original Variables (VAR)