کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6870773 681141 2013 13 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Estimating confidence intervals for the difference in diagnostic accuracy with three ordinal diagnostic categories without a gold standard
ترجمه فارسی عنوان
برآورد فواصل اعتماد به نفس برای تفاوت در دقت تشخیصی با سه دسته تشخیصی دسته ای بدون استاندارد طلا
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نظریه محاسباتی و ریاضیات
چکیده انگلیسی
With three ordinal diagnostic categories, the most commonly used measures for the overall diagnostic accuracy are the volume under the ROC surface (VUS) and partial volume under the ROC surface (PVUS), which are the extensions of the area under the ROC curve (AUC) and partial area under the ROC curve (PAUC), respectively. A gold standard (GS) test on the true disease status is required to estimate the VUS and PVUS. However, oftentimes it may be difficult, inappropriate, or impossible to have a GS because of misclassification error, risk to the subjects or ethical concerns. Therefore, in many medical research studies, the true disease status may remain unobservable. Under the normality assumption, a maximum likelihood (ML) based approach using the expectation-maximization (EM) algorithm for parameter estimation is proposed. Three methods using the concepts of generalized pivot and parametric/nonparametric bootstrap for confidence interval estimation of the difference in paired VUSs and PVUSs without a GS are compared. The coverage probabilities of the investigated approaches are numerically studied. The proposed approaches are then applied to a real data set of 118 subjects from a cohort study in early stage Alzheimer's disease (AD) from the Washington University Knight Alzheimer's Disease Research Center to compare the overall diagnostic accuracy of early stage AD between two different pairs of neuropsychological tests.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computational Statistics & Data Analysis - Volume 68, December 2013, Pages 326-338
نویسندگان
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