Receiver Operating Characteristic (ROC) Curves
Receiver operating characteristic (ROC) curves are used ubiquitously to evaluate covariates, markers, or features as potential predictors in binary problems. We distinguish raw ROC diagnostics and ROC curves, elucidate the special role of concavity in interpreting and modelling ROC curves, and establish an equivalence between ROC curves and cumulative ...
Gneiting, Tilmann, Vogel, Peter
openaire +2 more sources
Assessment and optimisation of STCA performance: Using the Pareto optimal receiver operating characteristic [PDF]
EUROCONTROL Annual Safety R&D Seminar (2008), Southampton, UK, 22-24 October 2008Short Term Conflict Alert (STCA) systems are complex software programs, with many parameters that must be adjusted to achieve best performance.
Arnold, Trevor +6 more
core
This work identified serum proteins associated with pancreatic epithelial neoplasms (PanINs) and early‐stage PDAC. Proteomics screens assessed genetically engineered mice with abundant PanINs, KPC mice (Lox‐STOP‐Lox‐KrasG12D/+ Lox‐STOP‐Lox‐Trp53R172H/+ Pdx1‐Cre) before PDAC development and also early‐stage PDAC patients (n = 31), compared to benign ...
Hannah Mearns +10 more
wiley +1 more source
Part 5: Receiver Operating Characteristic Curve and Area under the Curve
Multiple diagnostic tools are used by emergency physicians,every day. In addition, new tools are evaluated to obtainmore accurate methods and reduce time or cost of conventionalones.
Saeed Safari +3 more
doaj
A Linear Regression Framework for Receiver Operating Characteristic(ROC) Curve Analysis [PDF]
In the field of medical diagnostic testing, the receiver operating characteristics(ROC) curve has long been used as a standard statistical tool to assess the accuracy of tests that yield continuous results. Although previous research in this area focused
Pepe, Margaret S., Zhang, Zheng
core +1 more source
Tumors contain diverse cellular states whose behavior is shaped by context‐dependent gene coordination. By comparing gene–gene relationships across biological contexts, we identify adaptive transcriptional modules that reorganize into distinct vulnerability axes.
Brian Nelson +9 more
wiley +1 more source
From the help desk: Comparing areas under receiver operating characteristic curves from two or more probit or logit models [PDF]
Occasionally, there is a need to compare the predictive accuracy of several fitted logit (logistic) or probit models by comparing the areas under the corresponding receiver operating characteristic (ROC) curves.
Mario A. Cleves
core +1 more source
On the optimism correction of the area under the receiver operating characteristic curve in logistic prediction models [PDF]
When the same data are used to fit a model and estimate its predictive performance, this estimate may be optimistic, and its correction is required. The aim of this work is to compare the behaviour of different methods proposed in the literature when ...
Barrio, Irantzu +2 more
core
RIPK4 function interferes with melanoma cell adhesion and metastasis
RIPK4 promotes melanoma growth and spread. RIPK4 levels increase as skin lesions progress to melanoma. CRISPR/Cas9‐mediated deletion of RIPK4 causes melanoma cells to form less compact spheroids, reduces their migratory and invasive abilities and limits tumour growth and dissemination in mouse models.
Norbert Wronski +9 more
wiley +1 more source
THE PROPOSITION VALUE OF CORPORATE RATINGS - A RELIABILITY TESTING OF CORPORATE RATINGS BY APPLYING ROC AND CAP TECHNIQUES [PDF]
We analyze the Altman model, a Logit model as well as the KMV model in order to evaluate their performance. Therefore, we use a random sample of 132 US firms.
Lis Bettina +2 more
core

