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Unmeasured Confounding for General Outcomes, Treatments, and Confounders: Bias Formulas for Sensitivity Analysis

Uncontrolled confounding in observational studies gives rise to biased effect estimates. Sensitivity analysis techniques can be useful in assessing the magnitude of these biases. In this paper, we use the potential outcomes framework to derive a general class of sensitivity-analysis formulas for out...

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Detaylı Bibliyografya
Asıl Yazarlar: VanderWeele, Tyler J., Arah, Onyebuchi A.
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: 2011
Konular:
Online Erişim:https://ncbi.nlm.nih.gov/pmc/articles/PMC3073860/
https://ncbi.nlm.nih.gov/pubmed/21052008
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1097/EDE.0b013e3181f74493
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