Multiple-bias Sensitivity Analysis Using Bounds.

@article{Smith2021MultiplebiasSA,
  title={Multiple-bias Sensitivity Analysis Using Bounds.},
  author={Louisa H. Smith and Maya B. Mathur and Tyler J. VanderWeele},
  journal={Epidemiology},
  year={2021}
}
Confounding, selection bias, and measurement error are well-known sources of bias in epidemiologic research. Methods for assessing these biases have their own limitations. Many quantitative sensitivity analysis approaches consider each type of bias individually, although more complex approaches are harder to implement or require numerous assumptions. By failing to consider multiple biases at once, researchers can underestimate-or overestimate-their joint impact. We show that it is possible to… 
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