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qbaconfound: A flexible Monte Carlo probabilistic bias analysis for unmeasured confounding

2025-08-14 epidemiology Title + abstract only
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BackgroundUnmeasured confounding is a persistent concern in observational studies. We can quantitatively assess the impact of unmeasured confounding using a quantitative bias analysis (QBA). A QBA specifies the relationship between the unmeasured confounder(s), U, and study data via its bias parameters. There are two broad classes of QBA methods: deterministic and probabilistic. We focus on a probabilistic QBA which incorporates external information about U via prior distribution(s) placed on t...

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