An application of kappa‐type analyses to interobserver variation in classifying chest radiographs for pneumoconiosis
作者:
David C. Musch,
J. Richard Landis,
Ian T. T. Higgins,
John C. Gilson,
Robert N. Jones,
期刊:
Statistics in Medicine
(WILEY Available online 1984)
卷期:
Volume 3,
issue 1
页码: 73-83
ISSN:0277-6715
年代: 1984
DOI:10.1002/sim.4780030109
出版商: Wiley Subscription Services, Inc., A Wiley Company
关键词: Epidemiologic methods;Pneumoconiosis;Radiography;Statistics
数据来源: WILEY
摘要:
AbstractWe investigated interobserver variation between three physician readers in the independent classification of chest radiographs from 1771 taconite workers for pneumoconiosis. We analysed variation with a general methodology for the analysis of categorical data, and quantified interobserver agreement in terms of kappatype statistics. The results revealed considerable variation in the profusion of opacities reported by each observer. This was especially so for the earliest radiographic changes, but variation also occurred with the small number of films in the series showing category 2 pneumoconiosis or over. Variation in the classification of profusion of small opacities was greater in films of poor quality, and also increased with the length of time between taking and reading the film (film age). We could not account for the effect of film age by controlling for film quality, as subjectively assessed by the readers.
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