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Activity Number:
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80
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Type:
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Contributed
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Date/Time:
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Monday, August 12, 2002 : 8:30 AM to 10:20 AM
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Sponsor:
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Biometrics Section*
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| Abstract - #300818 |
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Title:
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Weighted Least Squares Approach for Comparing Correlated Kappa
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Author(s):
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John Williamson*+ and Huiman Barnhart+
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Affiliation(s):
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Centers for Disease Control and Prevention and Rollins School of Public Health of Emory University
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Address:
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1600 Clifton Rd. N.E., MS E-37, Atlanta, Georgia, 30333, USA 1518 Clifton Rd., NE, Atlanta, Georgia, 30322,
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Keywords:
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Agreement ; Correlated Kappa ; Weighted Least Squares
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Abstract:
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In the medical sciences, studies are often designed to assess the agreement between different raters or different instruments. The kappa coefficient is a popular index of agreement for binary and categorical ratings. Here, we focus on testing for the equality of two dependent kappa coefficients. We use the weighted-least squares (WLS) approach to take into account the correlation between the estimated kappa statistics. We demonstrate how PROC CATMOD can be used to test for the equality of dependent Cohen's kappa coefficients and dependent intraclass kappa coefficients with nominal categorical ratings. We also test for the equality of dependent Cohen's kappa and dependent weighted kappa with ordinal ratings. The major advantage of the WLS approach is that it allows the data analyst a way of testing dependent kappa with popular SAS software. The WLS approach can handle any number of categories. Analyses of two biomedical studies are used for illustration.
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- The address information is for the authors that have a + after their name.
- Authors who are presenting talks have a * after their name.
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