Multiply robust Bayesian procedures for causal inference problems
Author:
Affiliation:
1. Mayo Clinic, Rochester, Minnesota, USA
2. Department of Biostatistics and Epidemiology, The University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma, USA
Funder
National Institute on Minority Health and Health Disparities
National Institutes of Health
Oklahoma Shared Clinical and Translational Resources
Publisher
Informa UK Limited
Subject
Modeling and Simulation,Statistics and Probability
Link
https://www.tandfonline.com/doi/pdf/10.1080/03610918.2022.2101065
Reference47 articles.
1. Observational Study of Behavior: Sampling Methods
2. Doubly Robust Estimation in Missing Data and Causal Inference Models
3. Oracle, Multiple Robust and Multipurpose Calibration in a Missing Response Problem
4. Globally efficient non-parametric inference of average treatment effects by empirical balancing calibration weighting
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