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Extending the Bayesian Adjustment for Confounding algorithm to binary treatment covariates to estimate the effect of smoking on carotid intima-media thickness: The Multi-Ethnic Study of Atherosclerosis
We illustrate the application of the Bayesian Adjustment for Confounding (BAC) algorithm when the treatment covariate is binary. Using data from the Multi-Ethnic Study of Atherosclerosis, we estimate the effect of ever smoking on common carotid artery intimal medial thickness (CCA IMT) among adult C...
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| Main Authors: | , , |
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| Format: | Artigo |
| Language: | Inglês |
| Published: |
2014
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| Subjects: | |
| Online Access: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4047170/ https://ncbi.nlm.nih.gov/pubmed/24596278 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/sim.6123 |
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