I mostly agree with this, principled and robust estimations of effect size are hard and also important. Maybe someday I’ll write a primer on Judea Pearl covering Bayesian networks and causal graphs, which in my mind is the framework that unifies these approaches, but that would take me a while and would require some more research, so I didn’t get into it here.
I mostly agree with this, principled and robust estimations of effect size are hard and also important. Maybe someday I’ll write a primer on Judea Pearl covering Bayesian networks and causal graphs, which in my mind is the framework that unifies these approaches, but that would take me a while and would require some more research, so I didn’t get into it here.