Abstract: Assumptions play a pivotal role in the selection and efficacy of statistical models, as unmet assumptions can lead to flawed conclusions and impact decision-making. In both traditional ...

A big part of his work is figuring out when a statistical method is truly the best choice. Some problems have straightforward ...

A range of genetic factors can influence the onset of diseases like high blood pressure, heart disease, and type 2 diabetes, according to scientists. If we were to know how the DNA influences the risk ...

Recognizing that administrative health care databases can be a valuable, yet challenging, tool in the nation's ongoing pursuit of personalized medicine, statisticians have developed advanced ...

Retrieving an accurate picture of what a tagged animal does as it journeys through its environment requires statistical analysis, especially when it comes to animal movement, and the methods ...

The purpose of statistical model selection is to identify a parsimonious model, which is a model that is as simple as possible while maintaining good predictive ability over the outcome of interest.

Various statistical forecasting methods exist designed for use with slow-moving products, new product introductions, stable mature products and products with erratic demand. Determining which ...

For overweight or obese individuals without diabetes, but with pre-existing cardiovascular disease, semaglutide (Ozempic, Wegovy) is not cost-effective at current pricing, new research shows. However, ...

Mitchell Grant is a self-taught investor with over 5 years of experience as a financial trader. He is a financial content strategist and creative content editor. Timothy Li is a consultant, accountant ...