A non-iterative confidence interval estimating procedure for the intraclass kappa statistic with multinomial outcomes.
We obtain the asymptotic sample variance of the intraclass kappa statistic for multinomial outcome data. A modified Wald type procedure based on this theory is then used for confidence interval construction. The results of a simulation study show that the proposed non-iterative approach performs very well in terms of confidence interval coverage and width for samples as small as 50. The procedure is illustrated with two examples from previously published medical studies.
Zou
Guangyong
G
Robarts Clinical Trials, Robarts Research Institute, 100 Perth Drive, London, Ontario, Canada N6A 5K8. gzou@robarts.ca
Klar
Neil
N
D016893:Carotid Stenosis / Q000145:classification / Q000473:pathology; D003198:Computer Simulation; D016001:Confidence Intervals; D005163:Factor Analysis, Statistical; D005828:Genetics, Population; D006801:Humans; D007178:Inbreeding; D015233:Models, Statistical; D015588:Observer Variation; D011336:Probability; D015203:Reproducibility of Results; D018401:Sample Size