In this review, we critically discuss the objectives, methods and limitatio
ns of different approaches for the validation of diagnostic tests, We show
(based on published data and our own experiences) that estimates for the di
agnostic sensitivity and specificity may vary among populations and/or subp
opulations of animals, conditional on the distribution of influential covar
iates. Additional variability in those parameter estimates may be attributa
ble to the sampling strategy. The uncertainty about diagnostic parameters i
s of concern for the decision-maker in the context of clinical diagnosis or
quantitative risk assessment as well as for the epidemiologist who uses te
st data for prevalence estimation or risk-factor studies. Examples for the
calculation of diagnostic parameters are presented together with bias-avoid
ance strategies. We suggest guidelines for an epidemiologic approach to tes
t validation of veterinary diagnostic tests. (C) 2000 Elsevier Science B.V.
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