*  ROC curve and false discovery rates (FDR) for phenotypi | Open-i
ROC curve and false discovery rates (FDR) for phenotypic similarities between diseases provided by PhenUMA and PhenomeNET. A: ... A ROC curve was built using the same reference set of inferred relationships between OMIM diseases that share one or several ... A ROC curve was built using the same reference set of inferred relationships between OMIM diseases that share one or several ... A: ROC curves for phenotypic similarities between OMIM diseases. For all the cases we used the same reference dataset. This ...
  https://openi.nlm.nih.gov/detailedresult.php?img=PMC4260198_12859_2014_375_Fig6_HTML&req=4
*  Plus it
The diagnostic performance of the biomarker panel was assessed using receiver operator curves (ROC) and descriptive statistical ...
  http://cebp.aacrjournals.org/content/early/2014/06/11/1055-9965.EPI-14-0029
*  The area under the receiver-operating characteristic | Open-i
... curve for HBsAg levels in IC versus AH: AUROC = 0.705, 95% CI: 0.592-0.818, P , 0.05, with 67.9% ... Figure 1: The area under the receiver-operating characteristic (ROC) curve for HBsAg levels in IC versus AH: AUROC = 0.705, 95 ... Figure 1: The area under the receiver-operating characteristic (ROC) curve for HBsAg levels in IC versus AH: AUROC = 0.705, 95 ... As shown in Figure 1, the AUROC curve of HBsAg titers was 0.705. The suggested cutoff value of HBsAg titer that differentiates ...
  https://openi.nlm.nih.gov/detailedresult.php?img=PMC3958972_SJG-19-252-g002&req=4
*  ROC curve analysis with OptimalCutpoints, predictive values.
ROC) is managed with R, for example with the package OptimalCutpoints. Area under the curve, sensitivity, specificity. ... Comparison of the AUC of two ROC curves. * Smooth of a ROC curve (sometimes the classification is based on a discrete scale (e. ... Handling of ROC curves. Introduction. Receiving Operating Characteristic (ROC) curves are basically used in judgement of ... How can we obtain these values and how can we interpret them? Considering the female cases, the ROC-curve looks like this:. ...
  http://smart-statistics.com/handling-roc-curves/
*  NPROCwoGS: Non-parametric estimation of ROC curves without Gold Standard in ROCwoGS: Non-parametric estimation of ROC curves...
Function to estimate the ROC Curve of a continuous-scaled diagnostic test with the help of a second imperfect diagnostic test ... ROC.est$cutoff[which.max(ROC.est$T.Se[1,]+ROC.est$T.Sp[1,])-1] # Plot ROC curve plot(1-ROC.est$T.Sp[1,],ROC.est$T.Se[1,],'l', ... Calculate area under the curve AUC,- sum((ROC.est$T.Se[1,-1]+ROC.est$T.Se[1,-(ncutoff+2)])*(ROC.est$T.Sp[1,-1]-ROC.est$T.Sp[1,- ... NPROCwoGS: Non-parametric estimation of ROC curves without Gold Standard In ROCwoGS: Non-parametric estimation of ROC curves ...
  https://rdrr.io/cran/ROCwoGS/man/NPROCwoGS.html
*  ROC curve observed values - spssforum.com
In my ROC curve analysis output, on the table «Coordinates of the curve» there is a footnote saying « All the other cutoff ... ROC curve observed values. Moderators: statman, Analyst Techy, andris, Fierce, GerineL, Smash ...
  http://spssforum.com/viewtopic.php?f=4&t=13362
*  ROC curve of theta band SL as predictor of diagnosis in | Open-i
ROC curve of theta band SL as predictor of diagnosis in epilepsy patients without IEDs and their matched non-epilepsy patients ... pone-0010839-g004: ROC curve of theta band SL as predictor of diagnosis in epilepsy patients without IEDs and their matched non ... pone-0010839-g004: ROC curve of theta band SL as predictor of diagnosis in epilepsy patients without IEDs and their matched non ... see figure 4 for ROC curve). When adding radiological abnormalities and medication use to the regression analysis, these two ...
  https://openi.nlm.nih.gov/detailedresult.php?img=PMC2877105_pone.0010839.g004&req=4
*  ROC curve for TGF-β1 and MCP-1 according to progressio | Open-i
The areasunder the ROC curve for TGF-β1 and MCP-1 were 0.69 (95% CI, 0.55-0.84,p=0.01 ... ROC curve for TGF-β1 and MCP-1 according to progression of CWP (n=85). ... fig_001: ROC curve for TGF-β1 and MCP-1 according to progression of CWP (n=85). The areasunder the ROC curve for TGF-β1 and MCP ... fig_001: ROC curve for TGF-β1 and MCP-1 according to progression of CWP (n=85). The areasunder the ROC curve for TGF-β1 and MCP ...
  https://openi.nlm.nih.gov/detailedresult.php?img=PMC4202754_indhealth-52-129-g001&req=4
*  ROC curve with CBG and VPG as screening variables and H | Open-i
ROC curve with CBG and VPG as screening variables and HBA1c as reference (positive actual state 7%). Original calculation has ... Mentions: The ROC curve with CBG values as the screening variable and VPG values as the reference (positive actual state 7.0 ... Mentions: The ROC curve with CBG values as the screening variable and VPG values as the reference (positive actual state 7.0 ... Figure 2: ROC curve with CBG and VPG as screening variables and HBA1c as reference (positive actual state 7%). Original ...
  https://openi.nlm.nih.gov/detailedresult.php?img=PMC3403882_1471-2458-12-349-2&req=4
*  Multiple Antigen LOOCV ROC curves.The LOOCV ROC graphs | Open-i
Multiple Antigen LOOCV ROC curves.The LOOCV ROC graphs show classifiers with increasing number of human serodiagnostic antigens ... pntd-0000673-g004: Multiple Antigen LOOCV ROC curves.The LOOCV ROC graphs show classifiers with increasing number of human ... pntd-0000673-g004: Multiple Antigen LOOCV ROC curves.The LOOCV ROC graphs show classifiers with increasing number of human ... ROC) curves were generated for individual serodiagnostic antigens to assess the ability to separate the control and disease ...
  https://openi.nlm.nih.gov/detailedresult.php?img=PMC2864264_pntd.0000673.g004&req=4
*  Detector Performance Analysis Using ROC Curves - MATLAB & Simulink
ROC curves are often used to assess the performance of a radar or sonar detector. ROC curves are plots of the probability of ... it is often easy to plot the ROC curve as Pd against SNR with varying Pfa. We can use the rocpfa function to plot ROC curve in ... we can view the results in a plot of ROC curves. The rocsnr function plots the ROC curves by default if no output arguments are ... The calculated SNR requirement matches the value derived from the curve.. Summary. ROC curves are useful for analyzing detector ...
  http://www.mathworks.com/help/phased/examples/detector-performance-analysis-using-roc-curves.html?requestedDomain=www.mathworks.com&nocookie=true
*  Image Thresholding of Historical Documents Using Entropy and ROC Curves | SpringerLink
Mello C.A.B., Costa A.H.M. (2005) Image Thresholding of Historical Documents Using Entropy and ROC Curves. In: Sanfeliu A., ... Receiver Operating Characteristic Curve Document Image Historical Document Sample Document Produce Different Classifier With ... images using entropy information of the images to define a primary threshold value which is adjusted with the use of ROC curves ...
  https://link.springer.com/chapter/10.1007/11578079_93
*  ROC Curve Calculator in Excel | Receiving Operating Characteristic
Also calculates the Area Under the Curve. Part of QI Macros Excel Add-in. Download 30 day trial. ... Use this template to easily draw a ROC Curve in Excel. ... Use a ROC Curve to choose the most appropriate 'cut-off' for a ... QI Macros Add-in for Excel Contains a ROC Curve Template. Click on the QI Macros Menu and select, Chart Templates, ROC Curve. ... The template will perform the calculations and draw the ROC Curve.. *The template will also calculate the area under the curve ...
  https://www.qimacros.com/quality-tools/ROC%20Curve/
*  Simplified Performance Analysis of Energy Detectors Over Myriad Fading Channels: Area Under the ROC Curve Approach -...
The detection performance is characterized by the area under the Receiver Operating Characteristic (ROC) Curve (AUC), which is ... Simplified Performance Analysis of Energy Detectors Over Myriad Fading Channels: Area Under the ROC Curve Approach. ...
  https://www.techrepublic.com/resource-library/whitepapers/simplified-performance-analysis-of-energy-detectors-over-myriad-fading-channels-area-under-the-roc-curve-approach/
*  The ROC curve for regularly measured longitudinal biomarkers, Biostatistics | 10.1093/biostatistics/kxy010 | DeepDyve
"The ROC curve for regularly measured longitudinal biomarkers, Biostatistics" on DeepDyve, the largest online rental service for ... rm ROC}}_1(u,\eta_0, j)$$ is not the ROC curve for any individual patient but the expected patient-level ROC curve for a ... rm ROC}}_1(u,\eta_0, j)$$ is not the ROC curve for any individual patient but the expected patient-level ROC curve for a ... the limiting individual-specific ROC curve $${\rm ROC}_2(u , \xi_i)$$ for selected patients; the population ROC curve $${\rm ...
  https://www.deepdyve.com/lp/ou_press/the-roc-curve-for-regularly-measured-longitudinal-biomarkers-0jRJ0xtEEy
*  Using ROC curves to compare neural networks and logistic regression for modeling individual noncatastrophic tree mortality |...
Using ROC curves to compare neural networks and logistic regression for modeling individual noncatastrophic tree mortality. In ... Using ROC curves to compare neural networks and logistic regression for modeling individual noncatastrophic tree mortality ... A receiver operating characteristic (ROC) curve graphically describes the performance of the classifier without the requirement ... Its accuracy is measured by the area under the curve (AUC). A neural network is the superior classifier because it has a higher ...
  https://www.fs.usda.gov/treesearch/pubs/15774
*  ROC curve analysis for predictability of pancreatic fis | Open-i
A highest value of area under the curve (AUC) wa ... ROC curve analysis for predictability of pancreatic fistula ... Figure 1: ROC curve analysis for predictability of pancreatic fistula according to the passage of postoperative days (A). A ... Figure 1: ROC curve analysis for predictability of pancreatic fistula according to the passage of postoperative days (A). A ... highest value of area under the curve (AUC) was obtained at postoperative day 6 (B). Mentions: AUC of ROC analysis showed that ...
  https://openi.nlm.nih.gov/detailedresult.php?img=PMC4492326_kjhbps-18-90-g001&req=4
*  "Emperical Likelihood Type Intervals for the ROC Curve " by Ayman Baklizi
Interval estimation of the ROC curve is considered using the empirical likelihood techniques. Suggested is a procedure that is ... Interval estimation of the ROC curve is considered using the empirical likelihood techniques. Suggested is a procedure that is ... A Simple Method for Finding Emperical Liklihood Type Intervals for the ROC Curve ...
  https://digitalcommons.wayne.edu/jmasm/vol6/iss2/23/
*  Plotting and Intrepretating an ROC Curve
This type of graph is called a Receiver Operating Characteristic curve (or ROC curve.) It is a plot of the true positive rate ... Plotting and Intrepretating an ROC Curve. , Previous Section , Main Menu , Next Section ,. This section continues the ... The closer the curve follows the left-hand border and then the top border of the ROC space, the more accurate the test. *The ... An ROC curve demonstrates several things:. *It shows the tradeoff between sensitivity and specificity (any increase in ...
  http://gim.unmc.edu/dxtests/roc2.htm
*  Area under the ROC curves for the levels of serum (A) V | Open-i
Area under the ROC curves for the levels of serum (A) VEGF and (B) MMP-9 in IDC patients and healthy individuals. ROC, receiver ... Mentions: Receiver operating characteristic (ROC) curve analysis (Fig. 4) revealed the area under the ROC curve for VEGF was ... Mentions: Receiver operating characteristic (ROC) curve analysis (Fig. 4) revealed the area under the ROC curve for VEGF was ... Area under the ROC curves for the levels of serum (A) VEGF and (B) MMP-9 in IDC patients and healthy individuals. ROC, receiver ...
  https://openi.nlm.nih.gov/detailedresult.php?img=PMC4061234_ETM-08-01-0175-g03&req=4
*  Receiver operating characteristic (ROC) curve of differ | Open-i
... curve of different cut-offs of PCT in differentiating Enterobacteriaceae from nonfermentative Gram-negative bacteria (AU ... fig4: Receiver operating characteristic (ROC) curve of different cut-offs of PCT in differentiating Enterobacteriaceae from ... fig4: Receiver operating characteristic (ROC) curve of different cut-offs of PCT in differentiating Enterobacteriaceae from ... Bottom Line: Receiver operating characteristic analysis showed an area under the curve (AUC) for PCT of 0.765 (95% CI 0.725- ...
  https://openi.nlm.nih.gov/detailedresult.php?img=PMC4380090_DM2015-701480.004&req=4
*  R: Class rocc, ROC curve representation
rocc-class {ROC}. R Documentation. Class rocc, ROC curve representation. Description. object representing ROC curve, typically ... Object of class "numeric" thresholds defining curve markerLabel. :. Object of class "character" name of measured marker ...
  http://ugrad.stat.ubc.ca/R/library/ROC/html/rocc-class.html
*  Attractive Mathematical Properties Of The Roc Curve
... , ml, optimization,,pareto, Attractive Mathematical Properties of The ROC ... ROC Curve. Most of us use the ROC curve to assess our binary classifiers everyday. Sometimes we take for granted its ... So as we know, the x-axis of the ROC curve is the False Positive Rate (FPR) and the y-axis is the True Positive Rate (TPR). ... Since TPR and FPR are both p, a random classifier (baseline) will have a ROC curve of slope 1 (the diagonal) and an AUC of 0.5. ...
  http://jxieeducation.com/2016-09-27/Attractive-Mathematical-Properties-Of-The-ROC-Curve/
*  Articles | Radiology Research | Henry Ford Health System - Detroit, MI
H. Jahanian, H. Soltanian-Zadeh, G.A. Hossein-Zadeh, M. Siadat "ROC-Based Determination of the Number of Clusters for fMRI ... M. Maddah, A. Afzali Kushaa, H. Soltanian-Zadeh, "Efficient Medial Curve Extraction of Microvascular Structures in Confocal ...
  https://www.henryford.com/hcp/research/clinical-research/radiology/articles