Principles and practical application of the receiver-operating characteristic analysis for diagnostic tests.

By M. Greiner, Dirk U. Pfeiffer, RonaldE. Smith. Preventive Veterinary Medicine, 2000

1,933 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/0be7115e9761ccbf34ca0a0976482d5fbdba5a7f

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Citations in the corpus

Estimation of the Youden Index and its Associated Cutoff Point (2005, methodology): “Several such indices are found in the literature and have been used in various applications (Shapiro, 1999; Greiner et al., 2000).”
PresenceAbsence: An R Package for Presence Absence Analysis (2008, methodology): “In the medical eld these techniques are used to evaluate diagnostic tests ( Greiner et al. 2000; Cantor et al. 1999) and in radiology (Hanley and McNeil 1982).”
Systematic Reviews of Diagnostic Test Accuracy (2008, neutral): “One of these possible markers was ﬁbronectin (Fn), a glycoprotein that plays a role in a variety of biological functions.”
OptimalCutpoints: An R Package for Selecting Optimal Cutpoints in Diagnostic Tests (2014, background): “Maximizes Kappa index (Cohen 1960; Greiner et al. 2000) or Weighted Kappa index (Kraemer 1992; Kraemer, Periyakoil, and Noda 2002).”
The inconsistency of "optimal" cutpoints obtained using two criteria based on the receiver operating characteristic curve. (2006, background): “where a denotes the relative loss (cost) of a false-negative classification as compared with a false-positive classification and p is the proportion of diseased persons in the population of interest (prevalence) (17, 18).”
Comparison of abdominal adiposity and overall obesity in predicting risk of type 2 diabetes among men. (2005, methodology): “Finally, we compared the predictive power of baseline WC, WHR, and BMI deciles on risk of type 2 diabetes through receiver operator characteristic (ROC) curve analysis (27).”
A comparison of the performance of threshold criteria for binary classification in terms of predicted prevalence and Kappa (2008, methodology): “Greiner et al. (2000) review the use of ROC plots in veterinary medicine and discus the use of Youden’s index, user required sensitivity and specificity, and ROC plot-based criteria.”
Evaluation of nonesterified fatty acids and beta-hydroxybutyrate in transition dairy cattle in the northeastern United States: Critical thresholds for prediction of clinical diseases. (2010, background): “Sensitivity was the proportion of animals diagnosed with disease that were above a given metabolite threshold, and specificity was the proportion of animals that did not have the diseases that was below a given threshold (Greiner et al., 2000).”
Understanding diagnostic tests 3: receiver operating characteristic curves (2007, background): “while lower cut-offs are associated with higher sensitivities and lower specificities (6).”