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Reporting incidence from a surveillance system with an operational case definition of unknown predictive value positive

Supporting Files Public Domain


Details

  • Alternative Title:
    Epidemiol Perspect Innov
  • Personal Author:
    Kegler, Scott R
  • Description:
    When reporting incidence rate estimates for relatively rare health conditions, associated case counts are often assumed to follow a Poisson distribution. Case counts obtained from large-scale electronic surveillance systems are often inflated by the presence of false positives, however, and adjusted case counts based on the results of a validation sample will have variances which are hyper-Poisson. This paper presents a simple method for constructing interval estimates for incidence rates based on case counts that are adjusted downward using an estimate of the predictive value positive of the surveillance case definition.
  • Subjects:
  • Source:
    Epidemiol Perspect Innov. 2005; 2:7.
  • Document Type:
    Journal Article
  • Volume:
    2
  • Collection(s):
  • Main Document Checksum:
    urn:sha256:41d84901106efd5f9bbc52003ef8235b7154e0ebfe1a95087fc8635427543f6a
  • Download URL:
  • File Type:
    Filetype[PDF - 217.44 KB ]
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