The best of causal inference

Interview with Miguel Hernan

In today's episode, we will be diving deep into this interesting topic and talk specifically about the following:

• How did you get interested in causal inferences
• If we have an observational study with 2 arms and differences in baseline variables, what are the best ways to adjust for these?
• What does this look like for multiple treatment arms?
• In longer studies, we happen to see switches between different treatments. How do we compare treatments appropriately in these cases?

References:

• Wikipedia: Miguel Hernan
• Harvard TH Chan

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