Chin Yang Shapland

A flexible Monte Carlo quantitative bias analysis for unmeasured confounding

Quantitative bias analysis (QBA) for unmeasured confounding is essential for observational studies. A probabilistic QBA incorporates external information about the unmeasured confounders via prior distributions for certain parameters (known as bias parameters ) that specify the r...