Applied health and population health researchers are increasingly expected to answer causal questions using observational data: does an exposure affect later health, does a treatment work outside a ...

Another distinction of the course is its emphasis on practical relevance. Throughout the course, you are given cases and real data to apply what you learn to real causal inference problems. The course ...

"I read it as a joke!" one student chortled. "It definitely wasn't completely serious, was it?" another asked as she shook her head in disbelief. The intimate group of nine students—which includes a ...

This repository is a graduate causal inference project for DSC 245. It studies whether high early online engagement is associated with higher course-completion success in the Open University Learning ...

We know that correlation does not imply causation, but careful analyses of correlations are often our only way to quantify cause and effect in domains ranging from healthcare to education. This ...

Correlation is not Causation! But how can we find answers to questions like "How effective is a given treatment in preventing a disease" or "Did global warming cause this heat wave" based on available ...