Baker S G, Freedman L S, Parmar M K
Biometry Branch, DCPC, National Cancer Institute, Bethesda, Maryland 20892.
Biometrics. 1991 Dec;47(4):1327-38.
By introducing replicate observations into observer agreement studies, one can obtain better measures of observer agreement than heretofore possible. New methodology based on the analysis of latent variables allows a separation of within- and between-observer variation for binary measures of assessment among pairs of observers. Maximum likelihood estimation and hypothesis testing are discussed. The methodology is illustrated using data on the assessment of dysplasia by pathologists.
通过将重复观察引入观察者一致性研究，人们能够获得比以往更好的观察者一致性测量方法。基于潜变量分析的新方法能够分离成对观察者之间二元评估测量中的观察者内变异和观察者间变异。文中讨论了最大似然估计和假设检验。使用病理学家对发育异常评估的数据对该方法进行了说明。
