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Improving the biomarker diagnostic capacity via functional transformations
(Taylor and Francis Ltd., 2019)
Regiões de incerteza para a curva ROC em testes diagnósticos
(Universidade Federal de São CarlosBRUFSCarPrograma de Pós-Graduação em Estatística - PPGEs, 2009-03-03)
Diagnostic tests are methods capable of indicating the presence or absence of a disease, with a probability of error. The performance of a diagnostic test can be verified by some indicator, as: the specificity, the sensitivity ...
Using ROC curves in clinical investigation. Theoretical and practical issues
(SOC CHILENA INFECTOLOGIA, 2012)
Numerous diagnostic tests report their results quantitatively, using continuous scales. Receiver operating characteristic curve (ROC) analysis provides a statistical method for the assessment of the diagnostic accuracy of ...
RECEIVER OPERATING CHARACTERISTIC (ROC) CURVE
(SPRINGER, 2013)
Receiving Operating Characteristic (ROC) curves are bidimensional graphs commonly used to evaluate and compare the performance of classifiers. ROC plots nicely show the sensitivity/specificity trade-off of a classifier for ...
Cumulative/dynamic ROC curve estimation
(Taylor and Francis Ltd., 2016)
Fuzzy receiver operating characteristic curve: An option to evaluate diagnostic tests
(Ieee-inst Electrical Electronics Engineers IncPiscatawayEUA, 2007)
Análise fatorial confirmatória e normatização da Hospital Anxiety and Depression Scale (HADS)Confirmatory factor analysis and standardization of the Hospital Anxiety and Depression Scale (HADS)
(Instituto de Psicologia da Universidade de Brasília (UnB), 2017)
Bayesian nonparametric approaches for roc curve inference
(Mitra, R.; Mueller, P., 2015)
The development of medical diagnostic tests is of great importance in clinical practice, public health, and medical research. The receiver operating characteristic (ROC) curve is a popular tool for evaluating the accuracy ...