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Bootstrap and Empirical Likelihood-based Semi-parametric Inference for the Difference between Two Partial AUCs

Huang, Xin - 2008

With new tests being developed and marketed, the comparison of the diagnostic accuracy of two continuous-scale diagnostic tests are of great importance. Comparing the partial areas under the receiver operating characteristic curves (pAUC) is an effective method to evaluate the accuracy of two...

Persistent link: https://www.econbiz.de/10009463363

Empirical Likelihood-Based NonParametric Inference for the Difference Between Two Partial AUCS

Yuan, Yan - 2007

Compare the accuracy of two continuous-scale tests is increasing important when a new test is developed. The traditional approach that compares the entire areas under two Receiver Operating Characteristic (ROC) curves is not sensitive when two ROC curves cross each other. A better approach to...

Persistent link: https://www.econbiz.de/10009463422

Statistical Inferences for the Youden Index

Zhou, Haochuan - 2011

In diagnostic test studies, one crucial task is to evaluate the diagnostic accuracy of a test. Currently, most studies focus on the Receiver Operating Characteristics Curve and the Area Under the Curve. On the other hand, the Youden index, widely applied in practice, is another comprehensive...

Persistent link: https://www.econbiz.de/10009480799

Correcting verification bias in the assessment of the accuracy of diagnostic tests

He, Hua (1969; McDermott, Michael P.; Huang, Li-shan

test. The area under the ROC curve (AUC) is the most widely used measure for summarizing the ability of a continuous …, one can directly estimate the AUC nonparametrically using the Wilcoxon statistic. In the presence of verification bias, it … is common to estimate the AUC from a bias-corrected ROC curve. The variance of the estimator, however, does not have a …

Persistent link: https://www.econbiz.de/10009482975

Nichtparametrische Analyse von diagnostischen Tests ; Nonparametric Analysis of diagnostic trials

Werner, Carola - 2006

Persistent link: https://www.econbiz.de/10010353185

Key Indicators for a Countercyclical Capital Buffer in Norway - Trends and Uncertainty

Gerdrup, Karsten R.; Kvinlog, Aslak Bakke; Schaanning, Eric - 2013

ROC/AUC analysis even by using forecasts based on a relatively simple method. The forecast is an average of the quarterly …

Persistent link: https://www.econbiz.de/10012144073

Estimation of the mean AUC of the xenoestrogens daidzein, bisphenol A, and p-tert-octylphenol

Selinski, Silvia; Degen, Gisela H. - 2003

Potentially adverse human and environmental effects due to hormone mimicry of environmental estrogens are a matter of current concern. Environmental estrogens belong to the so-called endocrine active compounds (EAC), which alter signalling processes of the endocrine system leading to a broad...

Persistent link: https://www.econbiz.de/10010475813

Predicting football outcomes from Spanish league using machine learning models

Lewandowski, Michał; Chlebus, Marcin - 2021

Persistent link: https://www.econbiz.de/10012816703

Corporate default prediction model averaging : a normative linear pooling approach

Figini, Silvia; Savona, Roberto; Vezzoli, Marika - In: Intelligent systems in accounting finance and … 23 (2016) 1/2, pp. 6-20

Persistent link: https://www.econbiz.de/10011668111

Predictive analytics for hospital admissions from the emergency department using triage information

Araz, Ozgur M.; Olson, David; Ramirez-Nafarrate, Adrian - In: International journal of production economics 208 (2019), pp. 199-207

Persistent link: https://www.econbiz.de/10011994225