Our foray into causal analysis is not yet complete. Until we define the methods of causal inference, we can't get to the deeper insights that causal analysis can provide. This article details many of ...

In the article that accompanies this editorial, Lu et al 5 conducted a systematic review on the use of instrumental variable (IV) methods in oncology comparative effectiveness research. The main ...

Decades of research have established a significant link between physical activity and health, influencing agenda setting, policy making and community awareness.1–4 However, the field continues to ...

This paper describes threats to making valid causal inferences about pandemic impacts on student learning based on cross-year comparisons of average test scores. The paper uses Spring 2021 test score ...

The surge in enterprise AI has fueled interest in causal analysis. In this piece, I explore the threads that bind cause and effect - and how they can be applied across a range of industry scenarios.

If you would like to register your interest, please complete this form and we will be in touch if new dates are released. This course is not an analytical causal inference course, such that no ...

UC Berkeley School of Public Health researchers are collaborating with the FDA and industry to make drug clinical trials ...

Following the turbulence of the January 2026 “Quant Quake,” the global hedge fund industry is undergoing a major transformation as traditional statistical arbitrage strategies struggle under extreme ...