Interval estimation of the kappa coefficient with binary classification and an equal marginal probability model. NLM AIDSLINE Important note: Information in this article was accurate in 2000. The state of the art may have changed since the publication date.

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Interval estimation of the kappa coefficient with binary classification and an equal marginal probability model.

Biometrics. 2000 Jun;56(2):583-5. Unique Identifier : AIDSLINE MED/20333831
Nam JM; Biostatistics Branch, National Cancer Institute, Rockville,; Maryland 20892-7368, USA. namj@mail.nih.gov


Abstract: We derive a likelihood score method for interval estimation of the intraclass version of the kappa coefficient of agreement with binary classification using a general theory of Bartlett (1953, Biometrika 40, 306-317). By exact evaluation, we investigate statistical properties of the score method, the chi-square goodness-of-fit procedure (Donner and Eliasziw, 1992, Statistics in Medicine 11, 1511-1519; Hale and Fleiss, 1993, Biometrics 49, 523-534), and a crude confidence interval for small and medium sample sizes. Actual coverage percentages of the score and chi-square methods are satisfactorily close to the nominal confidence coefficient, while that of the crude method is quite unsatisfactory. The expected length of the score method is shorter than that of the chi-square procedure when the response rate is very small or very large.


Keywords: JOURNAL ARTICLE Bias (Epidemiology) Biometry/*METHODS Blacks Comparative Study Confidence Intervals Human HIV Seropositivity/DIAGNOSIS Male *Models, Statistical Nuclear Family *Probability United States

KWDjournalarticlebias(epidemiology)biometry/KWDmethodsblackscomparativestudyconfidenceintervalshumanhivseropositivity/diagnosismaleKWDmodels,statisticalnuclearfamilyKWDprobabilityunitedstates
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