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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, Bayesian early-warning signal detection, risk-adjusted surveillance, simulation tools, decision-support methods, and graphical summaries. These methods support continuous performance monitoring and timely detection of adverse trends in healthcare systems. The methodology is motivated by established risk-adjusted monitoring, sequential surveillance, and healthcare quality-improvement frameworks <doi:10.1093/biostatistics/1.4.441>, <doi:10.1002/sim.1546>, <doi:10.1136/bmjqs.2008.031831>, and <doi:10.1136/bmjqs-2016-005526>.

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VersionRepositoryFileSize
0.0.2 rolling linux/jammy R-4.5 BayesSurveillance_0.0.2.tar.gz 43.5 KiB
0.0.2 rolling linux/noble R-4.5 BayesSurveillance_0.0.2.tar.gz 43.5 KiB
0.0.2 rolling source/ R- BayesSurveillance_0.0.2.tar.gz 9.0 KiB
0.0.2 latest linux/jammy R-4.5 BayesSurveillance_0.0.2.tar.gz 43.5 KiB
0.0.2 latest linux/noble R-4.5 BayesSurveillance_0.0.2.tar.gz 43.5 KiB
0.0.2 latest source/ R- BayesSurveillance_0.0.2.tar.gz 9.0 KiB
0.0.2 2026-04-23 source/ R- BayesSurveillance_0.0.2.tar.gz 0 B

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