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Maximum Likelihood Estimation of Observer Error-Rates Using the EM Algorithm

A. P. Dawid and A. M. Skene
Journal of the Royal Statistical Society. Series C (Applied Statistics)
Vol. 28, No. 1 (1979), pp. 20-28
Published by: Wiley for the Royal Statistical Society
DOI: 10.2307/2346806
Stable URL: http://www.jstor.org/stable/2346806
Page Count: 9
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Abstract

In compiling a patient record many facets are subject to errors of measurement. A model is presented which allows individual error-rates to be estimated for polytomous facets even when the patient's "true" response is not available. The EM algorithm is shown to provide a slow but sure way of obtaining maximum likelihood estimates of the parameters of interest. Some preliminary experience is reported and the limitations of the method are described.

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