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Mixture modelling

One approach to estimating test sensitivity and specificity in the absence of a gold standard is that of mixture population modelling. This approach is based on the assumption that the observed distribution of test results (for a test with a continuous outcome reading such as an ELISA) is actually a mixture of two frequency distributions, one for infected individuals and one for uninfected individuals.