Johne's Disease in the Maritime Districts of Canada

Prevalence Estimate Adjusted for Test Variability

Authors

  • G. Van Schaik Department of Population Medicine and Diagnostic Sciences, Cornell University, Ithaca, USA
  • Y. H. Schukken Department of Population Medicine and Diagnostic Sciences, Cornell University, Ithaca, USA
  • M. Contreras Department of Biometrics, Cornell University, Ithaca, USA
  • J. A. VanLeeuwen Department of Health Management, Atlantic Veterinary College, UPEI, Charlottetown, Canada
  • G. P. Keefe Department of Health Management, Atlantic Veterinary College, UPEI, Charlottetown, Canada

DOI:

https://doi.org/10.21423/aabppro20015278

Keywords:

diagnostic test, precision, prevalence, variability, dairy cattle

Abstract

Ignoring the limited precision of diagnostic tests can incur serious bias in prevalence (P) estimation. Most studies treat the sensitivity (SE) and specificity (SP) of the tests as constants. This will result in an underestimation of the variability of P. Bayesian inference provides a natural framework with which to integrate the variability in the estimates of SE and SP with estimation of P.1

Cover image of the 34th Conference Proceedings: Four men on horseback lead a single cow through a pen. Yellow background.

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Published

2001-09-13

Issue

2001

Section

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