著者
西浦 博
出版者
公益社団法人 日本放射線技術学会
雑誌
日本放射線技術学会雑誌 (ISSN:03694305)
巻号頁・発行日
vol.66, no.11, pp.1485-1491, 2010-11-22 (Released:2010-11-19)
参考文献数
19
被引用文献数
3 3

Understanding inter-observer variability in clinical diagnosis is crucial for reliability studies. As the statistical measurements of reliability, the kappa statistic and its extensions have been widely adopted in medical research, but it has been discussed that kappa is vulnerable to prevalence and presence of bias. As an alternative robust statistic, AC1 has attracted recent statistical attentions. This article describes fundamental ideas and quantitative features of AC1. The reliability of infrared thermoscanner as an application in detecting febrile patients of pandemic influenza is discussed by means of Monte Carlo simulation. AC1 adjusts chance agreement more appropriately than kappa and is regarded as a more useful measurement for assessing inter-observer agreement, especially when prevalence is small.

言及状況

外部データベース (DOI)

Twitter (8 users, 8 posts, 24 favorites)

8割おじさんの西浦先生 技術学会誌に観察者間の信頼性について寄稿してくれていたんですね 個人的に大変勉強になりました AC1という統計量は、新しい指標で多くのsoftで未対応ですがRで算出可能でした https://t.co/rRHEfl0FgZ
観察者間の診断の一致性を評価する頑健な統計量 AC1について https://t.co/B9cFcUnOHx

収集済み URL リスト