Cutting Feedback in Bayesian Regression Adjustment for the Propensity Score

Artikel in diesem Heft

1. Editorial Introduction
2. Special Issue on Causal Inference
3. Article
4. Targeted Maximum Likelihood Based Causal Inference: Part I
5. Targeted Maximum Likelihood Based Causal Inference: Part II
6. Evaluating the Efficacy of a Malaria Vaccine
7. Attributable Fractions for Sufficient Cause Interactions
8. Balancing and Elimination of Nuisance Variables
9. Dynamic Regime Marginal Structural Mean Models for Estimation of Optimal Dynamic Treatment Regimes, Part I: Main Content
10. Dynamic Regime Marginal Structural Mean Models for Estimation of Optimal Dynamic Treatment Regimes, Part II: Proofs of Results
11. Optimal Dynamic Regimes: Presenting a Case for Predictive Inference
12. Selective Ignorability Assumptions in Causal Inference
13. Model Checking with Residuals for g-estimation of Optimal Dynamic Treatment Regimes
14. Accuracy of Conventional and Marginal Structural Cox Model Estimators: A Simulation Study
15. Comparing Approaches to Causal Inference for Longitudinal Data: Inverse Probability Weighting versus Propensity Scores
16. Impact of Outcome Model Misspecification on Regression and Doubly-Robust Inverse Probability Weighting to Estimate Causal Effect
17. Cutting Feedback in Bayesian Regression Adjustment for the Propensity Score
18. Bayesian Inference for Partially Identified Models
19. When to Start Treatment? A Systematic Approach to the Comparison of Dynamic Regimes Using Observational Data
20. Targeted Maximum Likelihood Estimation of the Parameter of a Marginal Structural Model
21. Review
22. An Introduction to Causal Inference