作者
Aya A Mitani, Phoebe E Freer, Kerrie P Nelson
发表日期
2017/10/1
来源
Annals of epidemiology
卷号
27
期号
10
页码范围
677-685. e4
出版商
Elsevier
简介
Purpose
Interpretation of screening tests such as mammograms usually require a radiologist's subjective visual assessment of images, often resulting in substantial discrepancies between radiologists' classifications of subjects' test results. In clinical screening studies to assess the strength of agreement between experts, multiple raters are often recruited to assess subjects' test results using an ordinal classification scale. However, using traditional measures of agreement in some studies is challenging because of the presence of many raters, the use of an ordinal classification scale, and unbalanced data.
Methods
We assess and compare the performances of existing measures of agreement and association as well as a newly developed model-based measure of agreement to three large-scale clinical screening studies involving many raters' ordinal classifications. We also conduct a simulation study to demonstrate …
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