Why is causation not important in prediction modelling? Wouldn't the inclusion of potentially spurious factors be problematic when trying to apply the model in other samples?
that is why you need external validation for your models. To determine the causality of a factor, you need to know the causal model, which we do not many times. Check Miguel Hernan's lectures on the topic.
@@jekamito Isn't that just implicitly saying we do need to know causal factors, whether they are obtained from external validation or causal modelling.
Wonderful presentation Sir. thanks for sharing!!
thanks for share, great presentation!
Very helpful information
Why is causation not important in prediction modelling? Wouldn't the inclusion of potentially spurious factors be problematic when trying to apply the model in other samples?
that is why you need external validation for your models. To determine the causality of a factor, you need to know the causal model, which we do not many times. Check Miguel Hernan's lectures on the topic.
@@jekamito Isn't that just implicitly saying we do need to know causal factors, whether they are obtained from external validation or causal modelling.
thanks for share, great presentation!