Latest Research in Statistical Methods and Bayesian Inference

Top Research Topics in Statistical Methods and Bayesian Inference

• Methodology — 13 papers
• Econometrics — 4 papers
• Artificial Intelligence in Healthcare and Education — 2 papers
• Advanced Causal Inference Techniques — 2 papers
• Statistical Methods and Bayesian Inference — 1 papers
• Global Health and Surgery — 1 papers
• Machine Learning — 1 papers
• Applications — 1 papers

Highest-Cited Papers

1. Conditional and marginal hazard ratios: accounting for unmeasured confounding in interpretation and estimation
2. A flexible approach to sequential prediction under intervention
3. Beyond Linearity: Semiparametric Solutions to Contamination Bias with Multi-valued Treatments
4. Building early career pathways in AI and medicine: a six-year pilot evaluation of the EDIT AI program
5. Coherent and robust Bayesian inference under informative sampling via sample-level weight models
6. Optimal Covariate Adjustment beyond the Average Treatment Effect: Treated-Population and Overlap-Weighted Estimands
7. Spectral Design of Random-Duration Switchbacks
8. Hospital AI and robotics adoption and access inequality in the United States
9. Estimation and Inference for Synthetic Control Methods with Spillover Effects
10. Estimation of an average causal response function in a high-dimensional sample selection model with application to US Job Corps program
11. Changes-in-Changes for Ordered Choice Models with Underreporting
12. Differentially Private Average Treatment Effect Estimation by Propensity Score Blocking
13. The Governance Gap: Democratizing Drug Development Through Decision Architecture
14. Reliable Selection of Heterogeneous Treatment Effect Estimators
15. Randomization Inference for Matched Pairs with Binary Outcomes
16. Sensitivity analysis for unmeasured pretreatment confounders in causal mediation analysis with debiased machine learning
17. Response Propensity Estimation and Cross-Fitting
18. Distilling heterogeneous treatment effects: Stable subgroup estimation in causal inference
19. Inverse Confounding Analysis: An Exact Method for Quantifying the Significance of Confounding
20. Visualizing the treatment effect on kidney hierarchical composite endpoints: From mosaic to maraca plots