Diana's repositories
survcompare
Internally validates and compares Cox Proportionate Hazards model and Survival Random Forest
missing-data-in-healthcare
consolidation page for missing data research
Language:R000
Language:Jupyter Notebook000
ensemble-methods-for-survival-analysis
Mixing classical survival analysis model, Cox Proportionate Hazards model, with tree-based machine learning algorithms (survival decision trees, survival random forest) to achieve better predictive performance while producing a transparent algorithm
Ensemble_methods_Shiny_app
Private _ code in progress
Language:Jupyter Notebook000
Language:Jupyter Notebook000
Language:Jupyter Notebook000