The famed physicist Richard Feynman once said, “I learned very early the difference between knowing the name of something and knowing something,” a lesson from his father. I think too often we in the statistics/machine learning field are guilty of “only knowing the name of something.” Well, in most cases, we may know a bit … Continue reading Knowing Something vs. Knowing the Name of Something: Some Points about Causal Analysis →

R-bloggers

The post discusses the difference between knowing something and knowing the name of something in causal analysis. It also dispels a common myth about regression analysis and explores the use of covariate matching. The post compares classical and causal analyses and explains the concept of Directed Acyclic Graphs (DAGs). It concludes by discussing the worth of causal analysis and the importance of assessing linearity.