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  "Title": "Bayesian Surveillance Methods for Healthcare Performance\nMonitoring",
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  "Description": "Provides Bayesian surveillance methods for prospective\nmonitoring of healthcare performance, patient safety, and\nclinical quality indicators. The package implements\nbeta-binomial monitoring for binary outcomes, gamma-Poisson\nmonitoring for count outcomes, posterior predictive alert\nprobabilities, risk-adjusted surveillance, early-warning signal\nrules, simulation tools, and graphical summaries. Methods are\nmotivated by risk-adjusted monitoring and healthcare\nsurveillance frameworks including Steiner et al. (2000)\n<doi:10.1093/biostatistics/1.4.441>, Spiegelhalter et al.\n(2003) <doi:10.1002/sim.1546>, Cook et al. (2011)\n<doi:10.1136/bmjqs.2008.031831>, and Neuburger et al. (2017)\n<doi:10.1136/bmjqs-2016-005667>.",
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  "Date/Publication": "2026-06-10 08:51:20 UTC",
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      "page": "alert_probability",
      "title": "Bayesian Alert Probability",
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      "title": "Approximate Bayes Factor Alert",
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      "title": "Bayesian CUSUM Surveillance",
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      "title": "Bayesian EWMA Surveillance",
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      "title": "Bayesian Funnel Plot Data",
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      "title": "Bayesian Beta-Binomial Monitoring for Binary Outcomes",
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    {
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      "title": "Plot Surveillance Results",
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