Causal Inference
BIG DATA I REAL WORLD DATA EN L'ANÀLISI DE LA UTILIZACIÓ, SEGURETAT I EFECTIVITAT DE MEDICAMENTS, TECNOLOGIES I INTERVENCIONS SANITÀRIES
The main speech of a next workshop is about causal inference by Miguel Hernan. If you want to have a look at his book, you'll find it here.
Causal inference is one of the main issues that current machine learning methodologies often try to skip. Finally we do need to know the factors, the causes that produce a consequence, a disease. And for example with risk adjustment, it happens the same. The methodology has to provide a clear understanding of the factors for adjustment and weights. Otherwise it would be a blackbox.
