Maguire W
Department of Radiology, Long Island Jewish Medical Center, The Long Island Campus for the Albert Einstein College of Medicine, New Hyde Park, New York, USA.
Med Decis Making. 1996 Jan-Mar;16(1):51-7. doi: 10.1177/0272989X9601600113.
A model that derives multiple-observer decision strategy ROC curves for boolean decision rules applied to binary decisions of two or three observers is presented. It is assumed that covert decision variables consistent with ROC models of observer performance underlie decisions and that readers' decision criteria are in a fixed relationship. The specific parameters of individual ROC curves and the correlational structure that describes interobserver agreement have dramatic effects upon the relative benefits to be derived from different boolean strategies. A common strategy employed in clinical practice, in which the overall decision is positive if any observer makes a positive decision, is most effective when the readers are of similar ability, when they adopt similar decision criteria, when interreader agreement is greater for negative than for positive cases, and when the individual ROC slope is <<1.0. Different multiple-observer decision strategies can be evaluated using the model equations. A bootstrap method for testing model-associated hypotheses is described.
本文提出了一种模型，该模型可推导应用于两个或三个观察者二元决策的布尔决策规则的多观察者决策策略ROC曲线。假设与观察者表现的ROC模型一致的隐蔽决策变量是决策的基础，并且读者的决策标准存在固定关系。各个ROC曲线的具体参数以及描述观察者间一致性的相关结构，对不同布尔策略的相对益处有显著影响。临床实践中常用的一种策略是，如果任何观察者做出阳性决策，则总体决策为阳性。当读者能力相似、采用相似决策标准、阴性病例的读者间一致性高于阳性病例且个体ROC斜率远小于1.0时，该策略最为有效。可以使用模型方程评估不同的多观察者决策策略。本文还描述了一种用于检验与模型相关假设的自助法。
