The program is tailored towards users of statistics (but you don’t need to be a statistician), that are new to Bayesian methods. The focus is on introducing the foundations of Bayesian methods and ...

Structural Equation Modeling (SEM) is a powerful statistical ... various research contexts. One significant area of recent research is the assessment of model fit in SEM. Traditional methods ...

Recent research has focused on developing new families of distributions and refining estimation methods to improve the accuracy and applicability of statistical models in various fields ...

The International Classification of Diseases (ICD) system standardizes diagnostic codes globally, enabling accurate comparisons of health data. This study investigated regional differences in ...

Seoul National University Hospital announced on the 24th that it has opened the 'Healthcare AI Research Institute' to ...

A study shows UK adults with ADHD have a life expectancy 6.78 years lower than the general population, underscoring the need ...

Introduction Population ageing in Africa is increasing healthcare demands. Hip fractures require multidisciplinary care and ...

Gunther Eysenbach, MD, MPH, FACMI, Founding Editor and Publisher; Adjunct Professor, School of Health Information Science, University of Victoria, Canada Sarcopenia is closely associated with a poor ...

Fewer assumptions are made when using these methods, such as machine learning or statistical learning, than when using classical methods. Consequently, the data play a larger role in the ...

Seasonal influenza, respiratory syncytial virus (RSV), and COVID-19 are actively circulating throughout the United States.

Objective Metabolic reprogramming plays a critical role in modulating the innate and adaptive immune response, but its role ...