Results 21 to 30 of about 359,159 (253)

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, Abigail R. Azari, Natalia Y. Ganushkina, Lutz Rastätter   +3 more
doaj   +1 more source

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
doaj   +1 more source

Functional Prediction of Hypothetical Proteins from and Validation of the Predicted Models by Using ROC Curve Analysis [PDF]

Genomics & Informatics, 2018
Shigella spp. constitutes some of the key pathogens responsible for the global burden of diarrhoeal disease. With over 164 million reported cases per annum, shigellosis accounts for 1.1 million deaths each year.
Md. Amran Gazi, Sultan Mahmud, Shah Mohammad Fahim, Mohammad Golam Kibria, Parag Palit, Md. Rezaul Islam, Humaira Rashid, Subhasish Das, Mustafa Mahfuz, Tahmeed Ahmeed   +9 more
doaj   +1 more source

Semiparametric Inference for ROC Curves with Censoring [PDF]

Scandinavian Journal of Statistics, 2008
Abstract.  Comparison of two samples can sometimes be conducted on the basis of analysis of receiver operating characteristic (ROC) curves. A variety of methods of point estimation and confidence intervals for ROC curves have been proposed and well studied.
Liang, Hua, Zhou, Yong
openaire   +3 more sources

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
doaj   +1 more source

ADC cut points for chronic kidney disease in pathologically-proven cholangiocarcinoma

European Journal of Radiology Open, 2021
Purpose: Apparent diffusion coefficient (ADC) has been shown to indicate renal function in various conditions. As cholangiocarcinoma may have renal involvement due to immune complex-mediated glomerulonephritis, this study aimed to determine whether or ...
Jaturat Kanpittaya, Wichuda Apipattarakul, Verajit Chotmongkol, Kittisak Sawanyawisuth   +3 more
doaj   +1 more source

Beyond the ROC Curve: The IMCP Curve

Analytics
The ROC curve [...]
Jesus S. Aguilar-Ruiz
doaj   +1 more source

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
doaj   +1 more source

The genetic interpretation of area under the ROC curve in genomic profiling. [PDF]

PLoS Genetics, 2010
Genome-wide association studies in human populations have facilitated the creation of genomic profiles which combine the effects of many associated genetic variants to predict risk of disease.
Naomi R Wray, Jian Yang, Michael E Goddard, Peter M Visscher   +3 more
doaj   +1 more source

ROC curves and the X2 test [PDF]

Pattern Recognition Letters, 1996
In this paper we review the Receiver Operating Characteristic (ROC) curve, and the X^2 test statistic, in relation to the analysis of a confusion matrix. We then show how these two methods are related, and propose an extension to the ROC curve so that it shows contours of X^2 values.
openaire   +2 more sources