نتایج جستجو برای: receiver operator characteristic curve

تعداد نتایج: 404008  

2010
Manoj A Gupta Anjan Chakrabarty Ruth Halstead Mohit Sahni Jayanti Rangasami Ashish Puliyel Vishnubhatla Sreenivas David A Green Jacob M Puliyel

OBJECTIVE To validate the SICK scoring system's ability to differentiate between individuals with higher and lower probabilities of death METHOD We performed a one year two-centre prospective evaluation of all children aged between one month and 12 years referred to the Paediatric team at St Stephens Hospital in Delhi and admitted to the Paediatric Department at West Middlesex University Hosp...

Journal: :Computational Statistics & Data Analysis 2014
Chiara Gigliarano Silvia Figini Pietro Muliere

The ROC curve is one of the most common statistical tools useful to assess classifier performance. The selection of the best classifier when ROC curves intersect is quite challenging. A novel approach for model comparisons when ROC curves show intersections is proposed. In particular, the relationship between ROC orderings and stochastic dominance is investigated in a theoretical framework and ...

2011
Peter Flach José Hernández-Orallo Cèsar Ferri

The area under the ROC curve (AUC) is a well-known measure of ranking performance, and is also often used as a measure of classification performance, aggregating over decision thresholds as well as class and cost skews. However, David Hand has recently argued that AUC is fundamentally incoherent as a measure of aggregated classifier performance and proposed an alternative measure [5]. Specifica...

Journal: :Biometrics 2012
Mei-Cheng Wang Shanshan Li

This article considers receiver operating characteristic (ROC) analysis for bivariate marker measurements. The research interest is to extend tools and rules from univariate marker to bivariate marker setting for evaluating predictive accuracy of markers using a tree-based classification rule. Using an and-or classifier, an ROC function together with a weighted ROC function (WROC) and their con...

2009
Sung-Hyuk Cha Charles C. Tappert

The biometric matching problem is a two class (“within” or “between”) classification problem where two types of errors (FRR and FAR) occur. While the receiver operating characteristic or ROC curve, which is a plot of FRR and FAR, can be easily obtained in the simple matching model, it is non-trivial to obtain in the multivariate matching model. Here the problem of obtaining ROC curves for sever...

2005
Jonathan E. Fieldsend Richard M. Everson

The Receiver Operating Characteristic (ROC) has become a standard tool for the analysis and comparison of binary classifiers when the costs of misclassification are unknown. Although there has been relatively little work in examining ROC for more than two classes – there has been growing interest in the area, and in recent studies we have formulated it in terms of misclassification rates. Altho...

Journal: :Medical decision making : an international journal of the Society for Medical Decision Making 1996
M Swaving H van Houwelingen F P Ottes T Steerneman

Receiver operating characteristic (ROC) analysis is the commonly accepted method for comparing diagnostic imaging systems. In general, ROC studies are designed in such a way that multiple readers read the same images and each image is presented by means of two different imaging systems. Statistical methods for the comparison of the ROC curves from one reader have been developed, but extension o...

Journal: :Medical decision making : an international journal of the Society for Medical Decision Making 1996
X H Zhou

A synthesis of the empirical Bayes method and the method of estimating equations is used to combine individual receiver operating characteristic (ROC) area estimates from different studies of the same diagnostic test into a single estimate. This single estimate represents the population mean from which individual areas under the ROC curves were sampled. The only data needed to carry out the met...

2011
Jānis Valeinis

In this paper we establish the empirical likelihood method for the two-sample case in a general framework. We show that the result of Qin and Zhao (2000) basically covers the following two-sample models: the differences of two sample means, smooth Huber estimators, distribution and quantile functions, ROC curves, probability-probability (P-P) and quantile-quantile (Q-Q) plots. Finally, the stru...

2011
Mihaela Spirchez Gabriel Samasca Claudia Bolba Nicolae Miu

Results The patients with active disease had greater IL-6 levels than did the patients with inactive disease (p=0.002) and controls (p=0.006).The cutoff value for active disease obtained from the ROC curve was 8,33pg/ml. During the active stage of the disease IL-6 levels were significantly higher in both systemic and polyarticular patients than in the oligoarticular patients. Serum IL-6 concent...

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