Suchen
Suchergebnisse
Select an image to start the slideshow
Omniscience in Adversarial Causal Inference: Implications for Balancing Estimators of Average Treatment Effects
1 of 10
Methods for Improving Doubly Robust Estimators of Treatment Effects for Observational Studies and Randomized Trials
2 of 10
Advances in Causal Inference to Support Vaccine Development and Evaluation
3 of 10
Semiparametric Efficient Designs with Staggered Rollouts
4 of 10
Methods for Improving the Interpretability and Evaluation of Machine Learning Models and Decision Making Systems
5 of 10
Causal Inference in Multilayered Networks
6 of 10
Courts, Constraints, and Public Opinion in Europe
7 of 10
Stability of Inference Derived from Machine Learning-based Doubly Robust Estimators of Treatment Effects
8 of 10
Estimation of Potential Outcomes when Treatment Assignment and Discontinuation Compete in Observational Data
9 of 10
Quantifying the Impact of Local SUTVA Violations in Spatiotemporal Causal Models
10 of 10