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A Comparison of Denominator Degrees of Freedom Methods for Multiple Observer ROC Analysis

机译:分母自由度方法在多观察者ROC分析中的比较

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摘要

There are several methods available for analyzing multireader ROC studies that generalize results to both the reader and case populations. Two of these methods - the Dorfman-Berbaum-Metz (DBM) method and the Obuchowki-Rockette (OR) method - appear to be quite different in their original formulations. However, recently it has been shown that the DBM and OR procedures yield the same test statistic when based on the same accuracy measure and covariance estimation method, but inferences can vary depending on which denominator degrees of freedom (ddf) method, DBM or OR, is used. I show in simulations that there are problems with both ddf methods: OR is ultraconservative with significance levels considerably below the nominal level, and DBM can result in extremely wide confidence intervals because the ddf can be close to zero. I propose a new ddf method that overcomes both of these problems and can be used with either the OR or DBM procedure.
机译:有多种可用于分析多读者ROC研究的方法,这些方法将结果概括到读者和案例人群中。其中两种方法-Dorfman-Berbaum-Metz(DBM)方法和Obuchowki-Rockette(OR)方法-在其原始配方中似乎有很大不同。但是,最近发现,当基于相同的精度度量和协方差估计方法时,DBM和OR程序会产生相同的测试统计量,但是推论可能会因DBM或OR的分母自由度(ddf)方法而异,用来。我在模拟中表明两种ddf方法都存在问题:OR是超保守的,其显着性水平大大低于标称水平,并且DBM可以导致极宽的置信区间,因为ddf可以接近零。我提出了一种新的ddf方法,该方法可以克服这两个问题,并且可以与OR或DBM过程一起使用。

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