Additional material

Part I: Prediction models in medicine

• 2. Applications of prediction models
• 4. Statistical models for prediction
• 5. Overfitting and optimism in prediction models
• 6. Choosing between alternative statistical models
  
  

Part II: Developing valid prediction models Checklist with chapter numbers

• 7. Missing values
• 11. Selection
• 12. Assumptions in regression models: smart coding of interactions
• 12. Assumptions in regression models: estimation of interactions with PML
• 14. Estimation with external information
• 15. Evaluation of performance
• 16. Clinical usefulness
• 17. Internal validation
• 18. Presentation formats
  
  

Part III: Generalizability of prediction models

• 19. Patterns of external validity
• 20. Updating for a new setting
• 21. Updating for multiple settings
  
  

Part IV: Applications of prediction models Checklist modeling steps for review of a case study

• 22. Case study on binary outcome (GUSTO-I)
• 23. Case study on survival analysis
  
  

• References with some pdfs in RefShare