1. Introduction and Objectives
2. A Guide to Implementing Quantitative Bias Analysis
3. Data Sources for Bias Analysis
4. Selection Bias
5. Uncontrolled Confounders
6. Misclassification
7. Measurement Error for Continuous Variables
8. Multiple Bias Modeling
8. Bias Analysis by Simulation for Summary Level Data
9. Bias Analysis by Simulation for Record Level Data
10. Combining Systematic and Random Error
11. Bias Analysis by Missing Data Methods
12. Bias Analysis by Empirical Methods
13. Bias Analysis by Bayesian Methods
14. Multiple Bias Modeling
15. Good Practices for Quantitative Bias Analysis
15. Presentation and Inference
References
Index.