Bayesian data fusion: Probabilistic sensitivity analysis for unmeasured confounding using informative priors based on secondary data

Comment, L., Coull, B. A., Zigler, C., & Valeri, L. (2021). Bayesian data fusion: Probabilistic sensitivity analysis for unmeasured confounding using informative priors based on secondary data. Biometrics, 78(2), 730–741. Portico. https://doi.org/10.1111/biom.13436
Authors:
Leah Comment
Brent A. Coull
Corwin Zigler
Linda Valeri
Affiliated Authors:
Linda Valeri
Columbia Affiliation:
Author Keywords:
causal inference
data fusion
g-formula
mediation
racial disparities
unmeasured confounding
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Publication Type:
Article
Unique ID:
10.1111/biom.13436
PMID:
33527348
DOI:
10.1111/biom.13436
Journal:
Biometrics
Publication Date:
Data Source:
Scopus
Source Link:
View Scopus Record

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