Confidence Interval Estimation for Sensitivity to the Early Diseased Stage Based on Empirical Likelihood.
Confidence Interval Estimation for Sensitivity to the Early Diseased Stage Based on Empirical Likelihood.
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DOI：
10.1080/10543406.2014.971173
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发表时间：
2015
影响因子：
1.1
通讯作者：
Tian L
中科院分区：
文献类型：
--
作者：
Dong T;Tian L
Many disease processes can be divided into three stages: i.e. the non-diseased stage, the early diseased stage and the fully diseased stage. To assess the accuracy of diagnostic tests for such diseases, various summary indexes have been proposed, such as volume under the surface (VUS), partial volume under the surface (PVUS), and the sensitivity to the early diseased stage given specificity and the sensitivity to the fully diseased stage (P2). This paper focuses on confidence interval estimation for P2 based on empirical likelihood. Simulation studies are carried out to assess the performance of the new methods compared to the existing parametric and non-parametric ones. A real data set from Alzheimer’s Disease Neuroimaging Initiative (ANDI)2 is analyzed. Key Words: Empirical Likelihood; Diagnostic tests; The sensitivity to the early diseased stage.
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影响因子：
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通讯作者：
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