Abstract:
:Testing involving the intra-class kappa coefficient is commonly performed in order to assess agreement involving categorical ratings. A number of procedures have been proposed, which make use of the limiting null distribution as the sample size goes to infinity in order to compute the observed significance. As with many tests based on asymptotic null distributions, these tests are associated with problematic type I error control for selected sample sizes and points in the parameter space. We propose and study a collection of exact testing approaches for both the one-sample and K-sample scenarios. For the one-sample case, p-values are obtained using the exact distribution of the test statistic conditional on a sufficient statistic. In addition, unconditional approaches are considered on the basis of maximization across the nuisance parameter space. Numerical evaluation reveals advantages with the exact unconditional procedures.
journal_name
Stat Medjournal_title
Statistics in medicineauthors
Wilding GE,Consiglio JD,Shan Gdoi
10.1002/sim.6135subject
Has Abstractpub_date
2014-07-30 00:00:00pages
2998-3012issue
17eissn
0277-6715issn
1097-0258journal_volume
33pub_type
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