Results 21 to 30 of about 302,402 (283)
Reasonably conduct the multiple Logistic regression analysis combined with the ROC curve analysis
Sichuan jingshen weisheng, 2022 The purpose of this paper was to introduce how to reasonably carry out the method of the multiple Logistic regression analysis by combining the ROC curve analysis. Firstly， it introduced two groups of the basic concepts related to the ROC curve analysis，
Hu Chunyan, Hu Liangping
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Huisarts en wetenschap, 2016 Diagnostiek en prognostiek zijn kernactiviteiten van elke huisarts en er zijn steeds meer laboratoriumtests om hem hierbij te ondersteunen. Voor goede, doelmatige zorg moet de klinische waarde van deze tests wetenschappelijk zijn aangetoond. Zo kan een huisarts zich afvragen wat de diagnostische waarde is van de CRP-test (C-reactiefproteine) bij ...
Huibert Burger, Geeske Holtman
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Web-Bootstrap Estimate of Area Under ROC Curve
Austrian Journal of Statistics, 2016 The accuracy of binary discrimination models (discrimination between cases with and without any condition) is usually summarized by classification matrix (also called a confusion, assignment, or prediction matrix). Receiver operating characteristic (ROC)
Hana Skalská, Václav Freylich
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The STONE Curve: A ROC‐Derived Model Performance Assessment Tool
Earth and Space Science, 2020 A new model validation and performance assessment tool is introduced, the sliding threshold of observation for numeric evaluation (STONE) curve. It is based on the relative operating characteristic (ROC) curve technique, but instead of sorting all ...
Michael W. Liemohn +3 more
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Receiver Operating Characteristic Curve of Total Serum IgE in Allergic Patients [PDF]
مجلة الموصل للتمريض, 2017 Background and objective: Validity of continuous variable test like total serum IgE is performed by constructing Receiver Operating Characteristic (ROC) curve.
Haitham Bader Fathi
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Diagnosis: shifting the ROC curve [PDF]
British Journal of General Practice, 2012 In 1972 Howie asked whether diagnosis was the Achilles heel of general practice.1 Accurate diagnosis was then, and remains, the fundamental concept of all medical practice. Are we any good at it now? This issue of the BJGP contains several papers on diagnosis and decision-making which shed light on this important area of practice. The results reported
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ROC curves in cost space [PDF]
Machine Learning, 2013 ROC curves and cost curves are two popular ways of visualising classifier performance, finding appropriate thresholds according to the operating condition, and deriving useful aggregated measures such as the area under the ROC curve (AUC) or the area under the optimal cost curve.
Hernández Orallo, José +2 more
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Medical Decision Making, 2010 Receiver operating characteristic (ROC) curves evaluate the discriminatory power of a continuous marker to predict a binary outcome. The most popular parametric model for an ROC curve is the binormal model, which assumes that the marker, after a monotone transformation, is normally distributed conditional on the outcome.
Glenn Heller, Mithat Gonen
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Nonparametric confidence intervals for the area under the ROC curve
Statistica, 2013 Following an idea by Jing et al. (2005), this paper combines the empirical likelihood for the mean functional with jackknife pseudo-values obtained from the Mann-Witney two-sample statistic.
Gianfranco Adimari
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Diagnostic Accuracy of Anthropometric Indicators in the Prediction of Urinary Incontinence in Physically Active Older Women [PDF]
Revista Brasileira de Ginecologia e Obstetrícia, 2016 Purpose To determine the diagnostic accuracy and the cutoff point of the variables conicity index, waist to height ratio and fat percentage to detect urinary incontinence in physically active older women. Method A total of 152 women were analyzed. The
Enaiane Cristina Menezes +5 more
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