Research ArticleOpen accessEvery word in the titleApplication 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 · 13,966 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA 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 · 6,687 accessesView PDFCite
Research ArticleOpen accessIn the abstractForecasting Corporate Financial Distress Using Explainable Machine Learning: Implications for Risk Management TechnologyKanjana Hinthaw, Warawut NarkbunnumFinancial distress prediction is a critical task in financial risk management, yet it remains challenging due to class imbalance, complex financial structures, and limited model interpretability. This study develops an integrated machine learning framework that combines feature selection, class imbalance handling, threshold optimization, and Explainable Artificial Intelligence (XAI) to improve both predictive performance and decision-making reliability. Using a dataset of … …Journal of Computer Science, Vol. 22, Issue 7 · 22 Jul 2026 · 1,130 accessesView PDFCite
Research ArticleOpen accessIn the abstractApplication of Machine Learning for the Detection of Depression and Mindfulness as a Mitigation MethodSantiago Domingo Moquillaza Henriquez, Liliana Ruth Huamán Rondón et al.Depression is a global mental health problem with various causes. Nowadays, with Artificial Intelligence, it can be predicted in order to take preventive measures, whether at a psychotherapeutic or pharmacological level. This research, based on a survey conducted, detects depression using logistic regression with a 91% fit to the ROC-AUC model, accuracy of 0.839188, precision 0.851354. In addition, a study … …Journal of Computer Science, Vol. 22, Issue 6 · 16 Jun 2026 · 1,216 accessesView PDFCite
Research ArticleOpen accessIn the abstractComparative Analysis of the Efficacy of Landslide Susceptibility ModelsJordan Henrique de Souza, Gislaine dos Santos, Gabriela Guimarães Gouvêa de Oliveira et al.This research aims to analyze the efficacy of SHALSTAB, IPT, SAGA, SMORPH and modified SMORPH models in evaluating landslide susceptibility. Statistical analysis concerning both the efficacy of the models in the prediction of landslide risks and the concordance between the models according to landslide occurrence or non-occurrence was performed. For this work, logistic regression, Receiver Operating Characteristic (ROC) curves, Kappa … …American Journal of Environmental Sciences, Vol. 15, Issue 3 · 31 May 2019 · 8,839 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Effects of Absorptive Capacity and Recipient Collaborativeness as Technology Recipient Characteristics on Degree of Inter-Firm Technology TransferA. W. Sazali, C. R. Raduan, U. Jegak, A. HaslindaProblem statement: As an efficient means to increase global competitiveness, technological capabilities and potential for local innovation, organizations in the developing countries are working hard to collaborate, learn and internalize their foreign partner’s technological knowledge by forming strategic alliances or International Joint Ventures (IJVs). Technology recipient characteristics, as one of the important actors/facilitators of inter-firm technology transfer, have increasingly become … …Journal of Social Sciences, Vol. 5, Issue 4 · 31 Dec 2009 · 7,801 accessesView PDFCite