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Bayesian data fusion: Probabilistic sensitivity analysis for unmeasured confounding using informative priors based on secondary data
Work
Year: 2021
Type: article
Abstract: Bayesian causal inference offers a principled approach to policy evaluation of proposed interventions on mediators or time‐varying exposures. Building on the Bayesian g‐formula method introduced by K... more
Source: Biometrics
Authors Leah A. Comment, Brent A. Coull, Corwin Zigler, Linda Valeri
Institutions Harvard University, The University of Texas at Austin, Columbia University
Cites: 36
Cited by: 3
Related to: 10
FWCI: 0.322
Citation percentile (by year/subfield): 52.27
Topic: Advanced Causal Inference Techniques
Subfield: Statistics and Probability
Field: Mathematics
Domain: Physical Sciences
Sustainable Development Goal Peace, justice, and strong institutions
Open Access status: green
Funders Environmental Protection Agency, National Institute of Mental Health, National Cancer Institute, National Cancer Institute, National Institute of General Medical Sciences +3 more
Grant IDS RD‐835872, K01MH118477, P01CA134294, T32CA009337, R01GM111339 +3 more