Based on data from its call center, a warranty company thought its market was predominantly female. However, when that ...

Objective This study aimed to explore adverse childhood experiences (ACEs) and their association with common mental disorders (CMD) among college students in Ethiopia. Design Cross-sectional study.

BACKGROUND: Whether cannabis is a risk factor for cardiovascular events is unknown. We examined the association between smoking cannabis and cardiovascular events in a cohort of older veterans (66 to ...

Artificial Intelligence (AI) is transforming credit risk modeling by offering methods and tools that serve as a complement - or even an alternative - to ...

Objectives This study aimed to investigate the characteristics and management of influenza-like illnesses (ILIs) in the outpatient and inpatient settings in Vietnam. Design A cross-sectional, ...

The group lasso estimator for logistic regression is shown to be statistically consistent even if the number of predictors is much larger than sample size but with sparse true underlying structure. We ...

Astronomers from Wuhan University in China have employed the Insight-HXMT satellite to observe a giant outburst that occurred ...

Furthermore the model can predict new observations more accurately. Applied Statistics of the Journal of the Royal Statistical Society was founded in 1952. It promotes papers that are driven by real ...

Learn how ARIMA models use time series data for accurate short-term forecasting. Discover its pros, cons, and essential tips for financial predictions.

The Monte Carlo analysis is a decision-making tool that can help an investor or manager determine the degree of risk that an action entails.