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Reporting incidence from a surveillance system with an operational case definition of unknown predictive value positive.
- Source :
-
Epidemiologic Perspectives & Innovations . 2005, Vol. 2, p7-5. 5p. - Publication Year :
- 2005
-
Abstract
- 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. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 17425573
- Volume :
- 2
- Database :
- Academic Search Index
- Journal :
- Epidemiologic Perspectives & Innovations
- Publication Type :
- Academic Journal
- Accession number :
- 28742755
- Full Text :
- https://doi.org/10.1186/1742-5573-2-7