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- W2016417699 abstract "The receiver operating characteristic (ROC) curve is one of the most commonly used methods to compare the diagnostic performance of two or more laboratory or diagnostic tests. In this paper, we propose semi-empirical likelihood based confidence intervals for ROC curves of two populations, where one population is parametric and the other one is non-parametric and both have missing data. After imputing missing values, we derive the semi-empirical likelihood ratio statistic and the corresponding likelihood equations. It is shown that the log-semi-empirical likelihood ratio statistic is asymptotically scaled chi-squared. The estimating equations are solved simultaneously to obtain the estimated lower and upper bounds of semi-empirical likelihood confidence intervals. We conduct extensive simulation studies to evaluate the finite sample performance of the proposed empirical likelihood confidence intervals with various sample sizes and different missing probabilities." @default.
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- W2016417699 date "2012-12-01" @default.
- W2016417699 modified "2023-09-30" @default.
- W2016417699 title "Semi-empirical likelihood inference for the ROC curve with missing data" @default.
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- W2016417699 doi "https://doi.org/10.1016/j.jspi.2012.06.011" @default.
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