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Activity Number:
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523
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Type:
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Contributed
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Date/Time:
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Wednesday, August 5, 2009 : 2:00 PM to 3:50 PM
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Sponsor:
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Section on Nonparametric Statistics
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| Abstract - #304014 |
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Title:
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Assessing Individual Observer Agreement in Studies Involving Replicated Ordinal Observations
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Author(s):
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Jingjing Gao*+
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Companies:
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Emory University
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Address:
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1518 Clifton Rd, Atlanta, GA, 30322,
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Keywords:
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coefficient of individual agreement ; ordinal data ; repeated measurements
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Abstract:
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Methods for assessment of individual observer agreement have been developed for continuous, binary and nominal observations, based on comparing disagreement between two observers to the disagreement between replicated observations made by the same observer on the same subject. Yet the assessment of individual agreement on ordinal observations has still to be developed due to the special properties of the data structure. In this presentation we propose a new nonparametric approach to evaluating individual agreement between two observers making replicated ordinal observations on each subject. We consider two situations: (1) a symmetric assessment of agreement between two observers, and (2) an assessment of the agreement of a new observer with an imperfect 'gold standard.' The reliability of the estimation method is examined via a simulation study.
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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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