Multicollinearity is a common issue in multiple regression analysis, where the presence of high correlation among predictor ...

If you have experience with R or want a quick way to generate a regression with statsmodels using a pandas DataFrame, you can ...

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 ...

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 ...

The reduction of health inequalities has been a priority of researchers, decision-makers and practitioners for many years.

Objectives To examine the association between exposure to greenness and hospital admissions for mental disorders, and to ...

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 ...

The 2025 Western Section AUA annual meeting featured a kidney cancer session and a presentation by Jaxson Jeffery discussing the impact of neoadjuvant systemic therapy on tumor and tumor thrombus ...

While scatterplots provide a visual assessment of the relationship between variables, the correlation coefficient offers a ...

Background Stroke after transcatheter aortic valve implantation (TAVI) is an infrequent but serious complication with ...

Background Anti-C1q autoantibodies can disrupt normal complement function, contributing to the formation of pathogenic immune ...