Pharmacovigilance involves detecting adverse drug reactions through large databases of reported cases. Data mining uses statistical methods to find "signals" of previously unknown or incompletely known drug-adverse reaction associations within these databases. Bayesian methods are well-suited for data mining due to their ability to accommodate uncertainty. Once a potential new signal is detected, further causality assessment is required to determine if the drug did in fact cause the adverse reaction.