When looking at data regarding Web site user behavior or in Daniel Westreich’s case, epidemiology, we have to be remember that correlation does not imply causation. That is, just because two events were observed close together in time, it is false to assume that one caused the other. Causal inference is hard.
With great examples, Daniel Westreich presents counterfactuals, causation and correlation at a pragmatic, hands-on level.
About Daniel Westreich
Former Microsoft developer, Daniel Westreich is a Postdoctoral Fellow in Department of Epidemiology at University of North Carolina at Chapel Hill where he leads the Causal Inference Research Group.
