基于经验似然的早期疾病阶段敏感性的置信区间估计
Confidence Interval Estimation for Sensitivity to the Early Diseased Stage Based on Empirical Likelihood.
作者信息
Dong Tuochuan, Tian Lili
机构信息
a Department of Biostatistics , University at Buffalo , Buffalo , New York , USA.
出版信息
J Biopharm Stat. 2015;25(6):1215-33. doi: 10.1080/10543406.2014.971173. Epub 2014 Nov 5.
Abstract
Many disease processes can be divided into three stages: 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 nonparametric ones. A real dataset from Alzheimer's Disease Neuroimaging Initiative (ADNI) is analyzed.
摘要
许多疾病进程可分为三个阶段
未患病阶段、疾病早期阶段和疾病完全发作阶段。为评估此类疾病诊断测试的准确性，已提出了各种汇总指标，如曲面下体积（VUS）、部分曲面下体积（PVUS），以及在给定特异性情况下对疾病早期阶段的敏感性和对疾病完全发作阶段的敏感性（P2）。本文重点关注基于经验似然对P2进行置信区间估计。开展了模拟研究，以评估新方法与现有的参数法和非参数法相比的性能。分析了来自阿尔茨海默病神经成像计划（ADNI）的一个真实数据集。
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