Package: BayesSurveillance 0.1.0

BayesSurveillance: Bayesian Surveillance Methods for Healthcare Performance Monitoring

Provides Bayesian surveillance methods for prospective monitoring of healthcare performance, patient safety, and clinical quality indicators. The package implements beta-binomial monitoring for binary outcomes, gamma-Poisson monitoring for count outcomes, posterior predictive alert probabilities, risk-adjusted surveillance, early-warning signal rules, simulation tools, and graphical summaries. Methods are motivated by risk-adjusted monitoring and healthcare surveillance frameworks including Steiner et al. (2000) <doi:10.1093/biostatistics/1.4.441>, Spiegelhalter et al. (2003) <doi:10.1002/sim.1546>, Cook et al. (2011) <doi:10.1136/bmjqs.2008.031831>, and Neuburger et al. (2017) <doi:10.1136/bmjqs-2016-005667>.

Authors:Muhammad Zahir Khan [aut, cre]