In my Sex, Drugs, and Artificial Intelligence class, I have strived to take a balanced look at various topics, including ...

Not all drug users are the same. To understand different profiles of patients that use addictive substances, research frameworks typically classify cases by ...

Statistical analysis is essential in research. As modern production processes evolve, the increasing volume of data needing processing has demanded techniques like multivariate analysis for ...

Abstract: Data mining, particularly multivariate time series data analysis, is crucial in extracting insights from complex systems and supporting informed decision-making across diverse domains.

Abstract: Multivariate cortico-muscular analysis has recently emerged as a promising approach for evaluating the corticospinal neural pathway. However, current multivariate approaches encounter ...

This is a new hybrid online course developed by methods and statistics experts in Cochrane. Designed for healthcare professionals, researchers, policy makers, and guideline developers, the course ...

In today’s data-rich environment, business are always looking for a way to capitalize on available data for new insights and increased efficiencies. Given the escalating volumes of data and the ...

If you’d like an LLM to act more like a partner than a tool, Databot is an experimental alternative to querychat that also works in both R and Python. Databot is designed to analyze data you’ve ...

Have you ever found yourself wrestling with Excel formulas, wishing for a more powerful tool to handle your data? Or maybe you’ve heard the buzz about Python in Excel and wondered if it’s truly the ...