When there is one topic, which is really hot, it's causal inference. I've got in contact with it about 20 years ago when analysing observational studies and when nobody working on clinical trials would consider it. But now - after the introduction of the estimands framework - this becomes part of every statisticians toolkit. Today, we have one of the world leading experts in this field as a guest - Miguel Hernan. I'm talking with him about:

How can this help generate and analyze data to identify better strategies for the treatment and prevention of both infectious and noninfectious diseases?

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