Results 131 to 140 of about 167,076 (238)

Copula‐based joint modelling of emergency department visits with time‐varying dependence

open access: yesCanadian 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

Association between obesity, sex, medical comorbidities, and survival in cancer patients treated with immune checkpoint inhibitors. [PDF]

open access: yesJ Cancer
Li M   +23 more
europepmc   +1 more source

Analyzing zero‐truncated recurrent event data by stratified regression with time‐varying coefficients

open access: yesCanadian Journal of Statistics, EarlyView.
Abstract This article presents a strategy for conducting regression analysis of zero‐truncated recurrent event data. The research is partly motivated by a pediatric mental health care (PMHC) program based on administrative data. We are particularly interested in how the occurrence of an event depends on its past occurrences and the associated ...
Anqi A. Chen   +3 more
wiley   +1 more source

Accelerometer-Measured Sedentary Behavior, Future Disease, and Cardiovascular-Kidney-Metabolic Health. [PDF]

open access: yesJACC Adv
Ajufo E   +7 more
europepmc   +1 more source

Vine copula knockoffs for variable selection in gene expression studies

open access: yesCanadian 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

Learning sparse mixture‐of‐experts generalized linear models in ultrahigh dimensions

open access: yesCanadian Journal of Statistics, EarlyView.
Abstract Motivated by the challenges of heterogeneity and high dimensionality in the analysis of modern data, we investigate continuous regularization methods for learning sparse mixture‐of‐experts generalized linear models (MoE‐GLM). Although there are foundational results about regularized estimators in a broad class of regression models including ...
Pengqi Liu, Abbas Khalili
wiley   +1 more source

Quantifying Actin Persistence Length in S. pombe and S. cerevisiae: The Impact of Data Size, Filament Length and Fitting Strategy

open access: yesCytoskeleton, EarlyView.
ABSTRACT Actin filaments exhibit isoform and species‐specific mechanical properties that are commonly quantified via their persistence length, yet the reliability of such measurements depends not only on the analysis method but also on dataset characteristics.
Peter Nietmann   +3 more
wiley   +1 more source

UMOD Genotype and Clinical Outcomes in Heart Failure Patients Treated with Loop Diuretics: A UK Biobank Pharmacogenetic Cohort Study

open access: yesClinical Pharmacology &Therapeutics, EarlyView.
Uromodulin (UMOD) regulates tubular sodium handling and modulates NKCC2, the molecular target of loop diuretics (LD). Although UMOD variants have been associated with blood pressure and hypertension, their pharmacogenetic relevance in heart failure (HF) remains unknown.
Reinhold Kreutz   +5 more
wiley   +1 more source

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