252 papers
This study introduces an open-source R framework within the nlmixr2 ecosystem that leverages metaheuristic algorithms, particularly ant colony optimization and tabu search, to significantly outperform traditional stepwise methods in automating population pharmacokinetic model selection and identifying ground-truth models.
This systematic review evaluates how geospatial technologies are transforming household survey sampling frames in low- and middle-income countries to address outdated census limitations, identifying four key methodological approaches while highlighting persistent challenges in validation and implementation that require further comparative evidence and standardized protocols.
This study employs hierarchical Bayesian modeling on a public visual working memory dataset to demonstrate that memory precision decreases systematically with increased load, revealing substantial individual variability and showing that a nonlinear model outperforms linear alternatives in capturing these effects.
This paper introduces and validates the Clustered Logistic Factor with Random Effects (CLF-RE) framework as a computationally scalable multiple imputation method that effectively recovers incomplete, high-dimensional longitudinal binary data in electronic health records, significantly reducing bias in epidemiologic estimates compared to existing approaches.
This study utilizes an EM–Weibull mixture model applied to Peruvian National Household Survey data to estimate the first and second-use lifespans of 12 household appliance categories, revealing distinct ownership diffusion patterns and providing the first nationally representative assessment of appliance longevity and reuse in Peru from 2008 to 2024.
This paper proposes a novel "asymptotic ridge" framework that extends classical ridge regression by introducing a heuristic combined algorithm based on an asymptotic elastic-net penalty function, supported by two new theorems, to achieve improved regularization and lower mean square errors through dynamic hyperparameters in high-dimensional datasets.
This hypothesis-generating study reports a statistically significant correspondence with an 8.314-meter interval across 14 independent global land systems, suggesting a potential unknown origin or transmission mechanism despite the inability to establish causal relationships.
This paper introduces Hybrid Neutrosophic Regression ANOVA (HNRA), a novel statistical framework that models measurement imprecision as neutrosophic intervals to provide a bounded, uncertainty-aware decomposition of sums of squares and a formally guaranteed F-statistic, thereby extending classical regression ANOVA to scenarios with instrument calibration errors and biological variability without requiring prior distributional assumptions.
This paper evaluates the utility of web-scraped BlaBlaCar data as a complementary source to traditional ISTAT census statistics for analyzing Italian mobility patterns, demonstrating how combining institutional and networked data with gravity models can capture both routine commuting and voluntary long-distance travel trends.
This study proposes a novel eight-compartment deterministic model incorporating time-dependent behavioral vaccination dynamics to analyze H1N1 transmission in Japan, demonstrating that the basic reproduction number governs disease stability and that effective mitigation relies on optimizing vaccination coverage, quarantine measures, and reducing perceived vaccination costs.