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Performance Metrics for Surveillance Schemes

Summary: [This abstract is based on the authors' abstract.] A review is given of various statistical performance metrics that have been used with prospective surveillance schemes, giving consideration to situations under which the metrics are most useful. Approaches and metrics used in industrial process monitoring are contrasted with those used in public health surveillance, with particular attention given to the recurrence interval used in public health surveillance. The recurrence interval and measures based on the time-to-signal properties for the temporal monitoring case are compared using exponentially weighted moving average (EWMA) charts, cumulative sum (CUSUM) charts, and Markov dependent signaling processes. It is recommended that the measures based on the time-to-signal properties be used to evaluate the performance of surveillance schemes for ongoing monitoring.

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  • Topics: Statistical Process Control (SPC)
  • Keywords: Average time to signal, Cumulative sum control chart (CUSUM), Exponentially weighted moving average control charts (EWMA), Markov chains, Recurrence data, Sensitivity analysis, Specification limits
  • Author: Fraker, Shannon E.; Woodall; William H.; Mousavi, Shabnam
  • Journal: Quality Engineering