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Causal independence for probability assessment and inference using Bayesian networks

✍ Scribed by Heckerman, D.; Breese, J.S.


Book ID
117873834
Publisher
IEEE
Year
1996
Tongue
English
Weight
707 KB
Volume
26
Category
Article
ISSN
1083-4427

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## Abstract Evaluation of impact of potential uncontrolled confounding is an important component for causal inference based on observational studies. In this article, we introduce a general framework of sensitivity analysis that is based on inverse probability weighting. We propose a general method