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Miguel Hernan
@miguelhernan.bsky.social
Using health data to learn what works. Making causal inference less casual. Director, CAUSALab causalab.sph.harvard.edu/ Professor, Harvard www.hsph.harvard.edu/miguel-hernan/ Methods Editor, Annals of Internal Medicine
486 followers50 following9 posts
MHmiguelhernan.bsky.social

First, you're giving me too much credit. Second, I doubt descriptive studies are hard to publish. My colleagues and I have been publishing field work, surveys, etc. for >25 years. Doing this work I learned that good description (measurement) is the foundation of sound causal inference. Examples 👇

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MHmiguelhernan.bsky.social

Hmm. I do. Causal DAGs help me identify and illustrate biases in the design and analysis of health studies. Having said that, I have supersmart colleagues that can reach the right conclusion without DAGs (congrats if you are one of them). For the rest of us mortals, causal DAGs are helpful tools.

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Profile banner
MH
Miguel Hernan
@miguelhernan.bsky.social
Using health data to learn what works. Making causal inference less casual. Director, CAUSALab causalab.sph.harvard.edu/ Professor, Harvard www.hsph.harvard.edu/miguel-hernan/ Methods Editor, Annals of Internal Medicine
486 followers50 following9 posts