Assessing the influence of rater and subject characteristics on measures of agreement for ordinal ratings.

ABSTRACT: Widespread inconsistencies are commonly observed between physicians' ordinal classifications in screening tests results such as mammography. These discrepancies have motivated large-scale agreement studies where many raters contribute ratings. The primary goal of these studies is to identify factors related to physicians and patients' test results, which may lead to stronger consistency between raters' classifications. While ordered categorical scales are frequently used to classify screening test results, very few statistical approaches exist to model agreement between multiple raters. Here we develop a flexible and comprehensive approach to assess the influence of rater and subject characteristics on agreement between multiple raters' ordinal classifications in large-scale agreement stud

SUBMITTER: Nelson KP 

PROVIDER: S-EPMC5540881 | biostudies-literature | 2017 Sep

REPOSITORIES: biostudies-literature