The paper deals with the formal dependence of diagnostic efficiency of clinical laboratory methods from analytic error. The parameters of frequency distribution and the estimation of variance of the analytical error are taken into account. This dependence is constructed basing on an universal model for solving classification tasks using error-contaminated data. The diagnostic efficiency is calculated as a function of the variance of analytical error. A comparison of calculated efficiencies with data gained in a special experiment showed a good agreement.
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