Package: bewrs 0.1.0

bewrs: Bayesian Early-Warning Risk Surveillance for Healthcare Performance Monitoring

Provides tools for Bayesian early-warning risk surveillance in healthcare performance monitoring. The package implements functions for posterior underperformance risk estimation, Dynamic Bayesian Early-Warning Risk Score computation, temporal and external validation, calibration assessment, decision curve analysis, decision-theoretic intervention optimisation, and Expected Value of Intervention analysis. The methodology is motivated by Bayesian hierarchical modelling, healthcare provider profiling, early-warning surveillance, and decision-theoretic resource allocation, including approaches discussed by Gelman et al. (2013), Spiegelhalter (2005) <doi:10.1136/bmj.331.7512.302>, Vickers and Elkin (2006) <doi:10.1177/0272989X06295361>, and Parmigiani and Inoue (2009).

Authors:Muhammad Zahir Khan [aut, cre]