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Correcting verification bias in the assessment of the accuracy of diagnostic tests

He, Hua (1969; McDermott, Michael P.; Huang, Li-shan

Sensitivity and specificity are common measures of the accuracy of a diagnostic test. The usual estimators of these … test. The area under the ROC curve (AUC) is the most widely used measure for summarizing the ability of a continuous … is common to estimate the AUC from a bias-corrected ROC curve. The variance of the estimator, however, does not have a …

Persistent link: https://www.econbiz.de/10009482975

Joint inference about sensitivity and specificity at the optimal cut-off point associated with Youden index

Yin, Jingjing; Tian, Lili - In: Computational Statistics & Data Analysis 77 (2014) C, pp. 1-13

In diagnostic studies, both sensitivity and specificity depend on cut-off point and they are well-known measures for …-off point associated with Youden index depends on both diseased and healthy samples, henceforth, sensitivity and specificity at … confidence region of sensitivity and specificity at the cut-off point determined by the Youden index. A real data set is analyzed …

Persistent link: https://www.econbiz.de/10010871381

Empirical Likelihood Confidence Intervals for the Sensitivity of a Continuous-Scale Diagnostic Test

Davis, Angela Elaine - 2007

lead to improved treatment and thus reduce medical mistakes. The sensitivity and specificity are two important measurements … confidence interval for the sensitivity at a fixed level of specificity for the test. In this thesis, we propose three empirical … likelihood intervals for the sensitivity. Simulation studies are conducted to compare the empirical likelihood based confidence …

Persistent link: https://www.econbiz.de/10009463421

Accuracy of MSI Testing in Predicting Germline Mutations of MSH2 and MLH1: A Case Study in Bayesian Meta-Analysis of Diagnostic Tests Without a Gold Standard

Chen, Sining; Watson, Patrice; Parmigiani, Giovanni - Berkeley Electronic Press - 2004

sensitivity and specificity of MSI for detecting germline mutations of mismatch repair genes is critical in genetic counseling and …. In particular we estimate the sensitivity of MSI for detecting mutations of MSH2 and MLH1 to be 0.78 (0 …

Persistent link: https://www.econbiz.de/10005459211

Grey Wolf Optimization Trained Feed Foreword Neural Network for Breast Cancer Classification

Pal, Shankho Subhra - In: International Journal of Applied Industrial Engineering … 5 (2018) 2, pp. 21-29

Breast cancer is the most common invasive cancer in females worldwide and is major cause of deaths. The diagnoses of breast cancer include mammograms, breast ultrasound, magnetic resonance imaging (MRI), ductogram and biopsy. Biopsy is best and only way to know if the breast tumor is cancerous....

Persistent link: https://www.econbiz.de/10012042877

Predicting Shoppers' Continuous Buying Intention Using Mobile Apps

Prashar, Sanjeev; Gupta, Priyanka; Parsad, Chandan; … - In: International Journal of Strategic Decision Sciences (IJSDS) 9 (2018) 3, pp. 69-83

The rapid penetration of smartphones and consumers' increased usage/dependence on mobile applications (apps) has ushered favorable opportunities for retailers as well as shoppers. The traditional brick-and-mortar as well as online retailers must attract shoppers to use mobile shopping apps. For...

Persistent link: https://www.econbiz.de/10012047542

Classification loss function for parameter ensembles in Bayesian hierarchical models

Ginestet, Cedric E.; Best, Nicky G.; Richardson, Sylvia - In: Statistics & Probability Letters 82 (2012) 4, pp. 859-863

, we also relate these classification loss functions on parameter ensembles to the concepts of posterior sensitivity and … specificity. Finally, we discuss the potential applications of balanced and p-weighted TCLs in Bayesian hierarchical models, and …

Persistent link: https://www.econbiz.de/10011040088

High-throughput DNA methylation datasets for evaluating false discovery rate methodologies

Asomaning, N.; Archer, K.J. - In: Computational Statistics & Data Analysis 56 (2012) 6, pp. 1748-1756

reporting the sensitivity, specificity, and observed FDR. These datasets are useful for characterizing the performance of …

Persistent link: https://www.econbiz.de/10010577727

Assessing mean and median filters in multiple testing for large-scale imaging data

Zhang, Chunming - In: TEST: An Official Journal of the Spanish Society of … 23 (2014) 1, pp. 51-71

A new multiple testing procedure, called the FDR<Subscript> L </Subscript> procedure, was proposed by Zhang et al. (Ann Stat 39:613–642, <CitationRef CitationID="CR12">2011</CitationRef>) for detecting the presence of spatial signals for large-scale 2D and 3D imaging data. In contrast to the conventional multiple testing procedure, the FDR<Subscript> L </Subscript> procedure...</subscript></citationref></subscript>

Persistent link: https://www.econbiz.de/10010994312

The linear combinations of biomarkers which maximize the partial area under the ROC curves

Hsu, Man-Jen; Hsueh, Huey-Miin - In: Computational Statistics 28 (2013) 2, pp. 647-666

operating characteristic (ROC) curve, when the joint normality of biomarkers is assumed. However, in many investigations, the … emphases are placed only on a limited extent of clinical relevancy, instead of the whole ROC curve. The goal of this study is … to find the linear combination that maximizes the partial area under a ROC curve (pAUC) for a pre-specified range. In …

Persistent link: https://www.econbiz.de/10010998476