Results 61 to 70 of about 3,583,799 (330)
ROC-Analyses—Areas Under the Curve.
, 2016 ROC-Analyses—Areas Under the Curve.
E. Neubauer (3149217) +3 more
core +1 more source
Molecular Oncology, EarlyView.LUNAR is a liver‐specific long noncoding RNA (lncRNA) that is highly expressed in normal liver but becomes epigenetically silenced in hepatocellular carcinoma through promoter hypermethylation. Loss of LUNAR is associated with NOTCH activation, epithelial–mesenchymal transition, and metastasis, whereas restoring LUNAR restrains metastatic progression ...
Se Ha Jang +9 more
wiley +1 more source
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
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
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
Molecular Oncology, EarlyView.This study integrates publicly available transcriptomic datasets to identify molecular signatures associated with response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer. By analyzing a combination of multiple cohorts with bioinformatics approaches, we reveal biological pathways and immune‐related features that may improve ...
Aleksandra Stanojevic +10 more
wiley +1 more source
easyROC: An Interactive Web-tool for ROC Curve Analysis Using R Language Environment
The R Journal, 2016 ROC curve analysis is a fundamental tool for evaluating the performance of a marker in a number of research areas, e.g., biomedicine, bioinformatics, engineering etc., and is frequently used for discriminating cases from controls.
D. Goksuluk +3 more
semanticscholar +1 more source
, 2020 The ROC curve of the miRNA signature for 3-year and 5-year survival probability in the combined cohort. ROC, receiver operating characteristic; miRNA, microRNA.
Taiyuan Li (8442702) +4 more
core +1 more source
Molecular Oncology, EarlyView.High‐risk bladder cancer is typically treated with Bacillus Calmette‐Guérin (BCG), but 30–40% of patients relapse. No FDA‐ or CE‐approved biomarkers currently predict or prognosticate BCG failure. We systematically reviewed the literature and identified 72 eligible studies, revealing several promising biomarkers associated with BCG treatment response ...
Rui Ribeiro‐Pereira +7 more
wiley +1 more source
, 2016 ROC-Analyses—Cut-off associated parameters of validity for each screening-tool taken from the ROC-curve coordinate point.
E. Neubauer (3149217) +3 more
core +1 more source