Misleading Omissions: A Bayesian Framework
16 Pages Posted: 12 Dec 2017 Last revised: 18 Feb 2019
Date Written: February 14, 2019
Bayes' Theorem is a useful structure for better understanding what makes a statement misleading by omission. The Bayesian framework presented here has straightforward application to securities cases that involve misleading omissions. The framework extends to other areas as well, including cases of consumer fraud and similar claims. I illustrate the framework with an application to securities fraud and then to the misrepresentation of the addictive nature of a product, with reference to potentially misleading omissions about the addictiveness of opioids.
Keywords: Bayesian Analysis, Omissions, Omnicare, Opioid Litigation, Product Liability
JEL Classification: G14, G18, K22, K42
Suggested Citation: Suggested Citation