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

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ID: 291736
1979
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Ranked #2 of 47 articles by views in Journal of the Royal Statistical Society Series C (Applied Statistics)

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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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Authors A. P. Dawid, A. M. Skene
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Journal Journal of the Royal Statistical Society Series C (Applied Statistics)
Year 1979
DOI
10.2307/2346806
URL
https://doi.org/10.2307/2346806
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