Bayes and diagnostic testing.

by: E Lesaffre, N Speybroeck, D Berkvens

Vet Parasitol, Vol. 148, No. 1. (19 August 2007), pp. 58-61.

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Abstract

Interpretation of the result of a diagnostic test depends not only on the actual test result(s) but also on information external to this result, namely the test's sensitivity and specificity. This external information (also called prior information) must be combined with the data to yield the so-called updated, posterior estimates of the true prevalence and the test characteristics. The Bayesian approach offers a natural, intuitive framework in which to carry out this estimation process. The influence of the prior information on the final result may not be ignored. Guidance for the choice of prior information not in conflict with the data can be obtained from a set of statistics and indices (DIC, p(D), Bayes-p).

@article{citeulike:2191512, abstract = {Interpretation of the result of a diagnostic test depends not only on the actual test result(s) but also on information external to this result, namely the test's sensitivity and specificity. This external information (also called prior information) must be combined with the data to yield the so-called updated, posterior estimates of the true prevalence and the test characteristics. The Bayesian approach offers a natural, intuitive framework in which to carry out this estimation process. The influence of the prior information on the final result may not be ignored. Guidance for the choice of prior information not in conflict with the data can be obtained from a set of statistics and indices (DIC, p(D), Bayes-p).}, address = {Biostatistical Centre, Catholic University of Leuven, Leuven, Belgium.}, author = {Lesaffre, E. and Speybroeck, N. and Berkvens, D. }, citeulike-article-id = {2191512}, doi = {10.1016/j.vetpar.2007.05.010}, issn = {0304-4017}, journal = {Vet Parasitol}, keywords = {bayes, diagnosis}, month = {August}, number = {1}, pages = {58--61}, posted-at = {2008-01-03 14:18:29}, priority = {2}, title = {Bayes and diagnostic testing.}, url = {http://dx.doi.org/10.1016/j.vetpar.2007.05.010}, volume = {148}, year = {2007} }

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TY - JOUR ID - citeulike:2191512 L3 - citeulike-article-id:2191512 TI - Bayes and diagnostic testing. JF - Vet Parasitol VL - 148 IS - 1 SP - 58 EP - 61 AD - Biostatistical Centre, Catholic University of Leuven, Leuven, Belgium. SN - 0304-4017 N2 - Interpretation of the result of a diagnostic test depends not only on the actual test result(s) but also on information external to this result, namely the test's sensitivity and specificity. This external information (also called prior information) must be combined with the data to yield the so-called updated, posterior estimates of the true prevalence and the test characteristics. The Bayesian approach offers a natural, intuitive framework in which to carry out this estimation process. The influence of the prior information on the final result may not be ignored. Guidance for the choice of prior information not in conflict with the data can be obtained from a set of statistics and indices (DIC, p(D), Bayes-p). KW - bayes KW - diagnosis AU - Lesaffre, E AU - Speybroeck, N AU - Berkvens, D PY - 2007/08/19/ UR - http://dx.doi.org/10.1016/j.vetpar.2007.05.010 ER -

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