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Bayesian estimation

Bayesian methods have been developed that allow the estimation of sensitivity and specificity of one or two tests that are compared in single or multiple populations ([#11 Joseph et al., 1995]; [#4 Enøe et al., 2000]; [#10 Johnson et al., 2001]; [#2 Branscum et al., 2005]). These methods allow incorporation of any prior knowledge on the likely sensitivity and specificity of the test(s) and of disease prevalence as probability distributions, expressing any uncertainty about the assumed prior values. Methods are also available for evaluation of correlated tests, but these require inclusion of additional tests and/or populations to ensure that the Bayesian model works properly ([#7 Georgiadis et al., 2003]).