7 results for “Area Under the ROC Curve (AUC)”

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Research ArticleOpen accessIn the keywordsA Permutation Test for Comparing Two Correlated Receiver Operating Characteristic CurvesOkeh Uchechukwu Marius, Onyeagu SidneyThe area under the Receiver Operating Characteristic (ROC) curve (AUC) is a summary measure when comparing two ROC curves. However, this summary measure is less informative when two ROC curves cross and have the same AUCs. In order to detect differences between ROC curves and to be able to tackle the problem of exchangeability of the labels between two diagnostic … …Journal of Mathematics and Statistics, Vol. 16, Issue 1 · 24 May 2020 · 8,132 accessesView PDF Cite

Research ArticleOpen accessIn the abstractUncertainty-Aware Ensemble Models for Improved Defect Detection in Noisy DataMadhavi Perla, Gadi Lava Raju, A Radha Krishna et al.Software defect prediction plays a crucial role in ensuring software quality and reliability, especially as modern systems become more complex and data rich. This study introduces an uncertainty-aware ensemble learning framework aimed at improving defect classification performance in noisy and imbalanced datasets, particularly those from the PROMISE and NASA KC1 repositories. The proposed model integrates multiple classifiers in a multi-learner … …Journal of Computer Science, Vol. 22, Issue 4 · 27 Apr 2026 · 1,549 accessesView PDF Cite

Literature ReviewOpen accessIn the abstractCystatin C as a New Biomarker in Patients with Chronic Kidney Disease a Review and Meta-AnalysisLingxin Bao, Qiaoyan Zhou, Yanfang Lin et al.The objective of this study was to evaluate the correlation between cystatin C (CysC) and patients with Chronic Kidney Disease (CKD). Prospective or retrospective cohort studies which compared the levels of CysC in patients with CKD and healthy controls were searched on PubMed, Contents, CINAHL and EMBASE from 2013 to December 31, 2020. R3.5.2 software was utilized to perform data … …American Journal of Biochemistry and Biotechnology, Vol. 17, Issue 3 · 12 Oct 2021 · 6,572 accessesView PDF Cite

Research ArticleOpen accessIn the abstractApplication of a Beta Regression Model for Covariate Adjusted ROCXing Meng, J.D. TubbsThe Receiver Operating Characteristic (ROC) curve and the area under the ROC (AUC) are widely used in determining the diagnostic capability of a binary classification procedure. Since the test performance is affected by covariates, the ROC and AUC have been utilized in a Generalized Linear Regression (GLM) setting. In this study, we revisit a problem where the AUC regression model … …Current Research in Biostatistics, Vol. 10, Issue 1 · 18 Jun 2020 · 13,970 accessesView PDF Cite

Research ArticleOpen accessIn the abstractA Distribution-Free Bayesian Approach for Indirect ComparisonsJohanna S. van Zyl, Jack D. TubbsThe objective of this paper is to consider an indirect comparison between treatments B and C when each have been compared directly to treatment A in separate studies. Problems of this type are common in Network Meta-Analysis (NMA). A commonly used method assumes that the underlying data, Y, are normally distributed and µ = E(Y) is the measure of clinical … …Journal of Mathematics and Statistics, Vol. 15, Issue 1 · 3 Jul 2019 · 6,691 accessesView PDF Cite

Research ArticleOpen accessIn the abstractComparing the Diagnostics Accuracy of CD4+ T-Lymphocyte Count and Percent as a Surrogate Markers of Pediatric HIV DiseaseMusie Ghebremichael, Haben Michael, Jack Tubbs, Elijah PaintsilThe percentage CD4+ T-lymphocytes is used to monitor pediatric HIV disease. However, in resource-limited settings, enumerating the percentage of CD4+ T-lymphocytes is hampered by the lack of laboratory infrastructure and trained technicians. In this paper, we investigated the performances of the percentage and absolute CD4+ T-lymphocytes as markers of pediatric HIV disease progression using data from HIV-infected children enrolled through … …Journal of Mathematics and Statistics, Vol. 15, Issue 1 · 3 Apr 2019 · 7,528 accessesView PDF Cite

Research ArticleOpen accessAll words, across the recordInterface between the Ratio β with Area Under the ROC Curve and Kullback-Leibler Divergence Under the Combination of Half Normal and Rayleigh DistributionsSaebugari Balaswamy, Rudravaram Vishnu VardhanClassifying objects/individuals is common problem of interest. Receiver Operating Characteristic (ROC) curve is one such tool which helps in classifying the objects/individuals into one of the two known groups or populations. The present work focuses on proposing a Hybrid version of the ROC model. Usually the test scores of the two populations namely normal and abnormal tend to follow some … …Current Research in Biostatistics, Vol. 5, Issue 2 · 12 Nov 2015 · 7,659 accessesView PDF Cite