Interval estimation for Cohen's kappa as a measure of agreement
Cohen's kappa statistic is a very well known measure of agreement between two raters with respect to a dichotomous outcome. Several expressions for its asymptotic variance have been derived and the normal approximation to its distribution has been used to construct confidence intervals. However...
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| Veröffentlicht in: | Statistics in medicine 2000-03, Vol.19 (5), p.723-741 |
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| container_title | Statistics in medicine |
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| creator | Blackman, Nicole J.-M. Koval, John J. |
| description | Cohen's kappa statistic is a very well known measure of agreement between two raters with respect to a dichotomous outcome. Several expressions for its asymptotic variance have been derived and the normal approximation to its distribution has been used to construct confidence intervals. However, information on the accuracy of these normal‐approximation confidence intervals is not comprehensive. Under the common correlation model for dichotomous data, we evaluate 95 per cent lower confidence bounds constructed using four asymptotic variance expressions. Exact computation, rather than simulation is employed. Specific conditions under which the use of asymptotic variance formulae is reasonable are determined. Copyright © 2000 John Wiley & Sons, Ltd. |
| doi_str_mv | 10.1002/(SICI)1097-0258(20000315)19:5<723::AID-SIM379>3.0.CO;2-A |
| format | Article |
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| language | eng |
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| source | MEDLINE; Wiley Online Library Journals Frontfile Complete |
| subjects | Adult Bias Biological and medical sciences Clinical Trials as Topic Computerized, statistical medical data processing and models in biomedicine Confidence Intervals Data Interpretation, Statistical Electrocardiography Health Surveys Humans Interviews as Topic Male Medical sciences Medical statistics Middle Aged Models, Statistical Myocardial Infarction - diagnosis Risk Factors Sample Size Surveys and Questionnaires Varicose Veins - diagnosis |
| title | Interval estimation for Cohen's kappa as a measure of agreement |
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