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Activity Number:
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476
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Type:
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Contributed
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Date/Time:
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Wednesday, August 5, 2009 : 10:30 AM to 12:20 PM
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Sponsor:
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Biopharmaceutical Section
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| Abstract - #303547 |
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Title:
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A General Class of Agreement Coefficients for Categorical and Continuous Responses
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Author(s):
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Wei Zhang*+ and Vernon M. Chinchilli
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Companies:
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Quintiles, Inc. and Penn State University
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Address:
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6700 West 115th Street, Overland Park, KS, 66211,
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Keywords:
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Agreement ; Concordance correlation coefficient ; Kappa ; Random marginal agreement coefficient ; Weighted kappa
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Abstract:
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We propose a general class of agreement coefficients for categorical and continuous responses. One of the important applications of an agreement coefficient is to measure the interrater agreement. We formulate this task using a parameter, which reflects the distance between marginal distributions. Our approach generalizes (1) Cohen's kappa as the upper bound and the RMAC as the lower bound for categorical data, and (2) Lin's CCC as the upper bound and RMAC as the lower bound for continuous data, within a class of appropriate measurements of interrater agreement based on the discrepancy between marginal distributions. We study the large sample properties for the estimators of members of this class and conduct simulation studies to assess and compare the accuracy and precision of the estimators. Some real data examples are also discussed to demonstrate their use.
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