Linear regression is one of the simplest and most useful tools for analyzing data. It helps you find the relationship between variables so you can make predictions and understand patterns. In this ...

Discover how econometricians use math and statistics to analyze and predict economic trends, serving in finance and academia ...

Objective To examine whether a multicomponent commercial fitness app with very small (‘micro’) financial incentives (FI) ...

Machine learning models reveal that histone marks are predictive of gene expression across human cell types and highlight important nuances between natural control and the effects of CRISPR-Cas9-based ...

Michael O. Lawanson, a Nigerian data scientist at the University of Arkansas, United States, is at the forefront of global ...

Health Insurance Equity, Social Determinants, Socioeconomic Status, Insurance Quality, Urban-Rural Disparity, Hukou, China ...

A research team shows that phenomic prediction, which integrates full multispectral and thermal information rather than ...

Objective We performed a systematic review, meta-analysis and meta-regression to determine if dietary protein supplementation augments resistance exercise training (RET)-induced gains in muscle mass ...

Objective To characterise the age-related impact of organ damage patterns on health-related quality of life (HRQoL) in ...

Although the vast majority of physicians using an artificial intelligence (AI) scribe perceived a reduction in documentation time, those with the most actual time savings had higher relative baseline ...

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

Watch says you’re in the red but body feels fine? You’re not imagining it. Discover why 220 minus age fails women and how to rethink heart rate zone training.