Pages that link to "Item:Q2057337"
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The following pages link to Bayesian regression tree models for causal inference: regularization, confounding, and heterogeneous effects (with discussion) (Q2057337):
Displaying 7 items.
- Bayesian graphical modeling for heterogeneous causal effects (Q6629904) (← links)
- Addressing positivity violations in causal effect estimation using Gaussian process priors (Q6629905) (← links)
- Protocols for observational studies: methods and open problems (Q6649128) (← links)
- In Nonparametric and High-Dimensional Models, Bayesian Ignorability is an Informative Prior (Q6651382) (← links)
- Modern approaches for evaluating treatment effect heterogeneity from clinical trials and observational data (Q6652603) (← links)
- Evaluating individualized treatment effect predictions: a model-based perspective on discrimination and calibration assessment (Q6652610) (← links)
- Causal health impacts of power plant emission controls under modeled and uncertain physical process interference (Q6665464) (← links)