Receiver operating characteristic (ROC) to determine cut-off points of clinical and biomolecular markers to discriminate mortality in severe COVID-19 living at high altitude. [PDF]
BMC Pulm Med, 2023 Vélez-Páez JL +10 more
europepmc +2 more sources
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Facioscapulohumeral muscular dystrophy (FSHD) is one of the most debilitating and common muscular dystrophies. Despite its severity, no approved therapy exists for FSHD patients. However, several therapeutic candidates are currently under development, and some have recently entered clinical trials, marking the need for reliable ...
Mustafa Bilal Bayazit +11 more
wiley +1 more source
Receiver operating characteristic (ROC) curves.
, 2015 Receiver operating characteristic (ROC) curves.
Nikhil Gupte (189999) +21 more
core +1 more source
Uncovering G Protein‐Coupled Receptors: Novel Targets and Biomarkers for Predicting Glioma Prognosis
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background Low‐grade gliomas (LGG) exhibit significant heterogeneity and recurrence risk. G protein‐coupled receptors (GPCR) contribute to glioma malignant progression, but their prognostic value remains unclear. This work attempts to formulate a GPCR‐based outcome‐predicting model for LGG. Methods Based on TCGA LGG data, the enrichment scores
Jun Yang +4 more
wiley +1 more source
Effect of Signal Selection in Receiver Operating Characteristics (ROC) Analysis
Japanese Journal of Radiological Technology, 2010 Selection of the signal is one of the major factors in a receiver operating characteristic (ROC) study for evaluating the diagnostic accuracy of medical imaging systems. We investigated the effect of signal selections in ROC studies which were applied to evaluate a difference between the two systems.
Takeda, Satoshi +5 more
openaire +3 more sources
Minimum‐Norm Estimation for Binormal Receiver Operating Characteristic (ROC) Curves [PDF]
Biometrical Journal, 2009 AbstractThe receiver operating characteristic (ROC) curve is often used to assess the usefulness of a diagnostic test. We present a new method to estimate the parameters of a popular semi‐parametric ROC model, called the binormal model. Our method is based on minimization of the functional distance between two estimators of an unknown transformation ...
Ori, Davidov, Yuval, Nov
openaire +2 more sources
A Two‐Stage Questionnaire and Actigraphy Screening for iRBD in a Multicenter Retrospective Cohort
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Isolated rapid‐eye‐movement sleep behavior disorder is a prodromal marker of synucleinopathies. However, most cases remain undiagnosed due to the insufficient predictive value of questionnaires and limited access to confirmatory video‐polysomnography. We assessed a two‐stage screening strategy combining a brief questionnaire on rapid‐
Caleb A. Massimi +17 more
wiley +1 more source
ESTIMATING THE ROC CURVE AND ITS SIGNIFICANCE FOR CLASSIFICATION MODELS’ ASSESSMENT
Quantitative Methods in Economics, 2014 Article presents a ROC (receiver operating characteristic) curve and its application for classification models’ assessment. ROC curve, along with area under the receiver operating characteristic (AUC) is frequently used as a measure for the diagnostics ...
Ryszard Szupiluk +2 more
doaj
Model Distribution Effects on Likelihood Ratios in Fire Debris Analysis
Separations, 2018 Computational models for determining the strength of fire debris evidence based on likelihood ratios (LR) were developed and validated against data sets derived from different distributions of ASTM E1618-14 designated ignitable liquid class and substrate
Alyssa Allen +3 more
doaj +1 more source
Receiver-operating characteristic (ROC) curves (total study cohort) for LINKI algorithms.
, 2016 Receiver-operating characteristic (ROC) curves (total study cohort) for LINKI algorithms.
Byron Lykiardopoulos (3391277) +7 more
core +1 more source