Results 161 to 170 of about 1,350 (213)
Chronic Diseases and Translational Medicine, EarlyView.Measurements obtained throughout the study, from acute hospitalization to the end of rehabilitation in the municipalities. The intervals between assessments are approximate. The lower boxes indicate the assessments performed. ABSTRACT Background Stroke is a leading cause of long‐term disability that impairs physical function and health‐related quality ...
Gabriel Tafdrup Notkin +4 more
wiley +1 more source
Chemie Ingenieur Technik, EarlyView.Aufgrund überlagerter oder konkurrierender Mechanismen sind relevante Wechselwirkungen bei der Staubung von Schüttgutmischungen komplex und nur unzureichend verstanden. Selbst für Mischungen aus umfassend charakterisierten Einzelkomponenten existieren keine belastbaren Modelle. In dieser Arbeit werden die Hürden bei der Prognose thematisiert.
David Horst +2 more
wiley +1 more source
Influence of Particle Size, Moisture, and Cloud Density on Wood Dust Ignition
Chemie Ingenieur Technik, EarlyView.The ignition and combustion of particle clouds are strongly affected by particle interactions. This study uses spectroscopy to examine effects of particle size, water content, and cloud density. Results show ignition delay rises with larger size and density, whereas combustion duration depends mainly on water and density due to moisture‐driven ...
Matteo Giesen +2 more
wiley +1 more source
Jackknife bias‐corrected variance estimation for the generalized regression estimator
Canadian Journal of Statistics, EarlyView.Abstract Commonly used variance estimators for the generalized regression estimator (GREG) are based on Taylor linearization and jackknife. Traditionally, a jackknife GREG variance estimator is obtained by jackknifing GREG, which consists of computing GREG from each of several subsamples of the parent sample, and estimating the variance of the parent ...
Marius Stefan, J.N.K Rao
wiley +1 more source
Dynamic survival risk prediction with time‐varying high‐dimensional images
Canadian Journal of Statistics, EarlyView.Abstract Integrating longitudinal data with survival models is a prevalent strategy for dynamic survival risk prediction while accounting for subjects' longitudinally observed variables. However, existing methods primarily focus on scalar longitudinal data and seldom tackle the complexities associated with high‐dimensional longitudinal imaging data ...
Bingfan Liu +7 more
wiley +1 more source
Nonlinear permuted Granger causality
Canadian Journal of Statistics, EarlyView.Abstract Granger causality is an established, contentious method that seeks causal temporal connections via association and precedence. While not true causal inference, it assists in mapping networks of information flow that may warrant further study.
Noah D. Gade, Jordan Rodu
wiley +1 more source
Copula‐based joint modelling of emergency department visits with time‐varying dependence
Canadian Journal of Statistics, EarlyView.Abstract Jointly modelling multiple correlated count time series is essential in health services research, where outcomes like emergency visits for mental health and substance use often evolve together. Ignoring these dependencies can obscure meaningful trends and limit the effectiveness of policy evaluation.
Guanjie Lyu, Cindy Feng, Lihui Liu
wiley +1 more source
Vine copula knockoffs for variable selection in gene expression studies
Canadian Journal of Statistics, EarlyView.Abstract Identifying clinical and genetic markers is essential for stratifying cancer patients by survival outcomes and guiding personalized treatment strategies. However, gene expression studies often involve high‐dimensional predictors with mixed data types and complex dependence, which complicates reliable variable selection.
José Ulises Márquez Urbina +3 more
wiley +1 more source
Optimal subsampling for regression with mixed‐type predictors
Canadian Journal of Statistics, EarlyView.Abstract Subsampling has emerged as an appealing strategy to mitigate the computational and storage challenges imposed by large datasets. Recent subsampling techniques have shown notable computational gains for data dominated by numerical predictors. However, real‐world datasets frequently contain both numerical and categorical predictors.
Jiaqing Zhu, Lin Wang, Fasheng Sun
wiley +1 more source
Canadian Journal of Statistics, EarlyView.Abstract Homogeneous normalized random measures with independent increments represent a broad class of Bayesian nonparametric priors and thus are widely used. In this article, we obtain the strong law of large numbers, the central limit theorem (CLT), and the functional central limit theorem (fCLT) of such measures when the concentration parameter a ...
Junxi Zhang, Shui Feng, Yaozhong Hu
wiley +1 more source