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Causal Inference with Missing Exposures and Missing Outcomes
Arxiv
0+阅读 · 6月16日
Kernel-Based Functional Balancing for Causal Inference with Compositional Treatments
Arxiv
0+阅读 · 6月15日
Logistic regression is not enough: The need for Bayesian nonparametric modelling for causal inference using observational data, exemplified by the 'gateway' effect
Arxiv
0+阅读 · 5月31日
Socioeconomic Drivers of Physical Morbidity Across U.S. Counties: A Spatial Causal Inference Approach
Arxiv
0+阅读 · 6月3日
Trustworthy AI/ML Regression and Unbiased Causal Inference for Real-World Data
Arxiv
0+阅读 · 5月31日
Assessing the impact of tourist attractions through the integration of causal inference and demand-side economic analysis: A case study of the Sensoria experience museum in Holzminden, Germany
Arxiv
0+阅读 · 5月20日
Federated Causal Inference from Multi-Site Observational Data via Propensity Score Aggregation
Arxiv
0+阅读 · 6月11日
Causal inference in connected populations with contagion
Arxiv
0+阅读 · 5月29日
Design-based edge-level causal inference with machine learning assisted covariate adjustment
Arxiv
0+阅读 · 5月31日
Benchmarking Counterfactual Prediction in Epidemic Time Series with Time-Varying Interventions
Arxiv
0+阅读 · 6月11日
Bell's Inequality, Causal Bounds, and Quantum Bayesian Computation: A Unified Framework
Arxiv
0+阅读 · 3月30日
ShrinkageTrees: An R Package for Bayesian Tree Ensembles for Survival Analysis and Causal Inference
Arxiv
0+阅读 · 6月10日
Toward a practical handbook for choosing among causal inference methods in non-randomized studies with binary outcomes: A simulation study for applied researchers
Arxiv
0+阅读 · 5月13日
On causal inference with marked point process data
Arxiv
0+阅读 · 4月14日
A Riesz Representer Perspective on Targeted Learning
Arxiv
0+阅读 · 4月23日
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