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Activity Number: 85 - Machine Learning in Biomedical Data
Type: Contributed
Date/Time: Sunday, July 28, 2019 : 4:00 PM to 5:50 PM
Sponsor: ENAR
Abstract #304291 Presentation
Title: The Impact of Rater Characteristics on Agreement and Association Using Ordinal Scales
Author(s): Don Edwards* and Kerrie Nelson
Companies: University of South Carolina and Boston University

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.

Authors who are presenting talks have a * after their name.

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