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

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ID: 291736
1979
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Ranked #34 of 46 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.
Reference Key
openalex_W9014458 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors A. P. Dawid, A. M. Skene
Journal Journal of the Royal Statistical Society Series C (Applied Statistics)
Year 1979
DOI
10.2307/2346806
URL
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