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Statistical Inferences for the Youden Index
Zhou, Haochuan - 2011
of sensitivity and specificity for all the possible values of the cut-point. This dissertation concentrates on …
Persistent link: https://www.econbiz.de/10009480799
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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 … connecting the (sensitivity, 1? specificity) points at each cutpoint of the test using step functions and/or line segments. This …, possibly depending on the result of the diagnostic test and other characteristics of the subjects. Estimators of sensitivity …
Persistent link: https://www.econbiz.de/10009482975
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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
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Binary isotonic regression procedures, with application to cancer biomarkers
Ghosh, Debashis; Banerjee, Moulinath; Biswas, Pinaki - Berkeley Electronic Press - 2004
There is a lot of interest in the development and characterization of new biomarkers for screening large populations for disease. In much of the literature on diagnostic testing, increased levels of a biomarker correlate with increased disease risk. However, parametric forms are typically used...
Persistent link: https://www.econbiz.de/10005178485
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Self-reported and measured BMI in Ireland: Should we adjust the obesity thresholds?
Madden, David - 2013
Using the nationally representative Slan dataset of 2007 we analyse the relationship between self-reported and measured BMI. We find that selfreported BMI significantly underestimates obesity rates and suggest that the traditional threshold of 30 should be adjusted downwards. We outline a number...
Persistent link: https://www.econbiz.de/10010293704
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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
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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
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Comparative assessment of three common algorithms for estimating the variance of the area under the nonparametric receiver operating characteristic curve
Cleves, Mario A. - 2002
The area under the receiver operating characteristic (ROC) curve is often used to summarize and compare the discriminatory accuracy of a diagnostic test or modality, and to evaluate the predictive power of statistical models for binary outcomes. Parametric maximum likelihood methods for fitting...
Persistent link: https://www.econbiz.de/10009442283
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Comparison of scoring systems for invasive pests using ROC analysis and Monte Carlo simulations
Mittinty, Murthy; Makowski, David
assessing scoring systems. Its principle is to simulate virtual data using a stochastic model and, then, to estimate sensitivity … and specificity values from these data for different scoring systems. The interest of our approach was illustrated in a …
Persistent link: https://www.econbiz.de/10009483617
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Cost-effectiveness of computed tomography coronary angiography versus conventional invasive coronary angiography
Darlington, Meryl; Gueret, Pascal; Laissy, Jean-Pierre; … - In: The European journal of health economics : HEPAC ; … 16 (2015) 6, pp. 647-655
Persistent link: https://www.econbiz.de/10011299253