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Bayesian network meta-analysis
Introduction
Introduction
1. Bayesian Network Meta-Analysis Methods Overview
Background
Background
2. Importance of Non-Randomised Evidence
Background
3. Challenges in Combining Trial Data
Methods
Methods
4. Contrast-Based and Arm-Based Parametrisations
Methods
5. Statistical Models for Dichotomous Outcomes
Methods
6. Understanding Dichotomous Outcomes in Research
Methods
7. Mathematical Framework for Dichotomous Outcomes
Methods
8. Using Logit Link in Dichotomous Outcomes
Methods
9. Contrast-Based Methods Without Covariates
Methods
10. Data Example: RA Treatment Trials
Methods
11. Bayesian Implementation Techniques
Results
Results
12. Effectiveness: Tocilizumab Analysis
Results
13. Adjustment for Covariates
Results
14. Comparison of Parametrisations
Discussion
Discussion
15. Benefits of Including SATs
Discussion
16. Conclusions on Methods
Discussion
17. Future Research Directions
Bayesian network meta-analysis