Frailty models have emerged as a pivotal tool in survival analysis, offering a robust framework to account for unobserved heterogeneity and dependence between paired failure times. In bivariate ...

Background: Environmental and biomedical researchers frequently encounter laboratory data constrained by a lower limit of detection (LOD). Commonly used methods to address these leftcensored data, ...

Data modeling refers to the architecture that allows data analysis to use data in decision-making processes. A combined approach is needed to maximize data insights. While the terms data analysis and ...