The adjusted r-squared is helpful for multiple regression and corrects for erroneous regression, giving you a more accurate ...

The role of megafaunal exploitation in early human evolution remains debated. Occasional use of large carcasses by early hominins has been considered by some as opportunistic, possibly a fallback ...

The World Gold Council says a momentum flush out and stronger US dollar contributed to a see-saw for gold from its 50th ...

I 'm a big fan of Python for data analysis, but even I get curious about what else is available. R has long been the go-to ...

Causal Machine Learning (CML) unites ML techniques with CI in order to take advantage of both approaches’ strengths. CML ...

This course is for statisticians, health economists, and decision modellers who are interested in understanding and applying the latest evidence synthesis and population adjustment methodologies in ...

Objectives The length and frequency of previous sickness absence (SA) spells have been shown to be associated with future SA. The aim was to examine if this pattern persisted during the COVID-19 ...

Background Community resilience is a relevant concept in public health, but its empirical relationship with health outcomes ...

A machine learning model using routine lab data at 3 months postdiagnosis accurately predicted mortality or liver transplant risk in autoimmune hepatitis.

When a scorecard reflects outcomes leadership cares about, teams move from opinions to actions that reduce cost, improve ...