A Bayesian Stopping Rule for Sequential Monitoring of Serious Adverse Events
A Bayesian Stopping Rule for Sequential Monitoring of Serious Adverse Events is a scholarly work, published in 2014 in ''Drug Information Journal''. The main subjects of the publication include clinical trial, frequentist inference, decision rule, flexibility, early stopping, Bayesian probability, type I and type II errors, Bayes' theorem, prior probability, computer science, optimal stopping, stopping time, statistical process control, statistics, Bayesian inference, medical laboratory, posterior probability, sequential analysis, and sequential probability ratio test. In an ongoing clinical trial, there will always be a risk for unanticipated critical safety problems, such as excessive occurrence of serious adverse events.