Results 31 to 40 of about 2,919,066 (271)

Identifying the Best Marker Combination in CEA, CA125, CY211, NSE, and SCC for Lung Cancer Screening by Combining ROC Curve and Logistic Regression Analyses: Is It Feasible?

open access: yesDisease Markers, 2018
The detection of serum biomarkers can aid in the diagnosis of lung cancer. In recent years, an increasing number of lung cancer markers have been identified, and these markers have been reported to have varying diagnostic values.
Qixian Yang   +4 more
semanticscholar   +1 more source

Beyond the ROC Curve: The IMCP Curve

open access: yesAnalytics
The ROC curve [...]
Jesus S. Aguilar-Ruiz
doaj   +1 more source

Reasonably conduct the multiple Logistic regression analysis combined with the ROC curve analysis

open access: yesSichuan 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

Asymptotic properties of the sequential empirical ROC, PPV and NPV curves under case-control sampling

open access: yes, 2012
The receiver operating characteristic (ROC) curve, the positive predictive value (PPV) curve and the negative predictive value (NPV) curve are three measures of performance for a continuous diagnostic biomarker.
Feng, Ziding, Koopmeiners, Joseph S.
core   +1 more source

Is the ROC curve a reliable tool to compare the validity of landslide susceptibility maps?

open access: yes, 2018
This study investigates how effective the receiver operating characteristic (ROC) curve is for comparing the reliability of landslide susceptibility maps (LSMs).
V. Vakhshoori, M. Zare
semanticscholar   +1 more source

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

open access: yesPLoS 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   +3 more
doaj   +1 more source

Predictive MGMT status in a homogeneous cohort of IDH wildtype glioblastoma patients [PDF]

open access: yes, 2019
Methylation of the O(6)-Methylguanine-DNA methyltransferase (MGMT) promoter is predictive for treatment response in glioblastoma patients. However, precise predictive cutoff values to distinguish "MGMT methylated" from "MGMT unmethylated" patients remain
Hempt, Claudia   +12 more
core   +1 more source

Mixtures of Receiver Operating Characteristic Curves [PDF]

open access: yes, 2013
Rationale and Objectives: ROC curves are ubiquitous in the analysis of imaging metrics as markers of both diagnosis and prognosis. While empirical estimation of ROC curves remains the most popular method, there are several reasons to consider smooth ...
Gonen, Mithat
core   +2 more sources

easyROC: An Interactive Web-tool for ROC Curve Analysis Using R Language Environment

open access: yesThe 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

Diagnostic Accuracy of Anthropometric Indicators in the Prediction of Urinary Incontinence in Physically Active Older Women [PDF]

open access: yesRevista 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

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