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Activity Number:
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85
- Machine Learning in Biomedical Data
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Type:
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Contributed
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Date/Time:
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Sunday, July 28, 2019 : 4:00 PM to 5:50 PM
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Sponsor:
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ENAR
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Abstract #304291
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Presentation
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Title:
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The Impact of Rater Characteristics on Agreement and Association Using Ordinal Scales
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Author(s):
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Don Edwards* and Kerrie Nelson
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Companies:
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University of South Carolina and Boston University
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Keywords:
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Abstract:
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Ordinal scales are commonly used in screening and diagnostic tests to classify a patient’s disease status. However, discrepancies are often observed between experts' classifications. We present a flexible model-based approach based upon the class of generalized linear mixed models to assess the impact of rater characteristics including experience and training on agreement and association between many raters' ordinal classifications. The proposed approach is demonstrated with data from a recent large-scale breast cancer study.
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Authors who are presenting talks have a * after their name.
