Results 141 to 150 of about 29,453 (262)

Deep Neural Network With a Smooth Monotonic Output Layer for Dynamic Risk Prediction. [PDF]

Stat Med
Zhou Z, Deng Y, Liu L, Jiang H, Peng Y, Yang X, Zhao Y, Ning H, Allen NB, Wilkins JT, Liu K, Lloyd-Jones DM, Zhao L.   +12 more
europepmc   +1 more source

Bayesian inverse ensemble forecasting for COVID‐19

Canadian Journal of Statistics, EarlyView.
Abstract Variations in strains of COVID‐19 have a significant impact on the rate of surges and on the accuracy of forecasts of the epidemic dynamics. The primary goal for this article is to quantify the effects of varying strains of COVID‐19 on ensemble forecasts of individual “surges.” By modelling the disease dynamics with an SIR model, we solve the ...
Kimberly Kroetch, Don Estep
wiley   +1 more source

Enhanced Bayesian Spline Regression Approach for Modelling Trends in Infections Caused by Pathogens Commonly Transmitted Through Food. [PDF]

Zoonoses
Weller DL, Sevilla S, Hetrick E, Rose EB, Forstedt J, Caravas J, Ray LC, Payne DC, Steele MK, Hoekstra RM, Bruce BB.   +10 more
europepmc   +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

Time to Death and Donation After Circulatory Death Kidney Transplant Outcomes: Opportunities for Improved Utilization in the United States. [PDF]

Clin Transplant
Amarnath DR, Kalpana TSR, Kourounis G, Malik AK, Philip J, Thompson ER, Glover E, Pettigrew GJ, Callaghan C, Sheerin N, Wilson C, Tingle SJ.   +11 more
europepmc   +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, Alejandro Román Vásquez, Graciela González Farías, Gabriel Escarela   +3 more
wiley   +1 more source

Shape-constrained, changepoint additive models for time series omics data with cpam. [PDF]

Nucleic Acids Res
Yates LA, Humphreys JL, Charleston MA, Smith SM.   +3 more
europepmc   +1 more source

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

Clinical 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, Pimrapat Gebert, Jingwen Luo, Paraskevi Tassopoulou, Juliane Bolbrinker, Antonios Douros   +5 more
wiley   +1 more source

When CSR Gaps Become Competitive Signals: How CEO Motivation Shapes Competitive Dissimilarity

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT Prior research has primarily examined corporate social responsibility (CSR) directed toward stakeholders such as investors, consumers, and regulators, signaling trustworthiness and positive moral character. However, nonmarket strategies such as CSR may also be interpreted by firms in relation to competitors, suggesting that CSR may influence ...
Sascha P. Klein
wiley   +1 more source

Potential for risk reduction of chronic health conditions through lifestyle in childhood cancer survivors. [PDF]

Nat Commun
Onerup A, Liu Q, Izumi S, Dixon SB, Howell RM, Ehrhardt MJ, Joffe L, Turcotte LM, Srivastava DK, Brinkman TM, Oeffinger KC, Snyder C, Nathan PC, Yasui Y, Armstrong GT, Ness KK.   +15 more
europepmc   +1 more source