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In this paper we study a broad class of nonparametric statistics for comparing two diagnostic markers. One can compare the sensitivities of these diagnostic markers over restricted ranges of specificity by selecting an appropriate statistic from this class. As special cases, one can compare the entire area under the receiver-operator curve (Hanley & McNeil, 1982), or one can compare the sensitivities at a fixed common specificity. Usually we would recommend a comparison…

比较配对或非配对诊断指标的一类非参数统计量AI 解读

In this paper we study a broad class of nonparametric statistics for comparing two diagnostic markers. One can compare the sensitivities of these diagnostic markers over restricted ranges of specificity by selecting an appropriate statistic from this class. As special cases, one can compare the entire area under the receiver-operator curve (Hanley & McNeil, 1982), or one can compare the sensitivities at a fixed common specificity. Usually we would recommend a comparison…

用于 ED50 的高效 R 估计量AI 解读

Analogues of R-estimators are defined for the problem of estimating the median of a symmetric tolerance distribution in quantal bioassay. Asymptotic distributions are derived, and it is shown that the logistic scores estimator is, in a certain sense, asymptotically efficient. A Monte Carlo study is conducted to investigate the small-sample behavior of this estimator in relation to 10 competing estimators. The results suggest that the logistic scores estimator merits further…

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