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

概要

論文の詳細を見る
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.
社団法人　日本放射線技術学会の論文