That led to this paper which was accepted in JRSSA. In it, I make the Epidemiology paper a bit more formal, extend to continuous covariates, proposed two new AIPW estimators, and provide a new illustrative example academic.oup.com/jrsssa/advan...

The first paper on using a mathematical model to fill in nonpositive regions was published in Epidemiology in the January issue. This paper lays out the basics in the case of nonpositivity by a binary variable and we proposed IPW and g-computation estimators journals.lww.com/epidem/abstr...

Upgrade your #causalinference arsenal. A revision of our book "Causal Inference: What If" is available at miguelhernan.org/whatifbook Thanks to everyone who suggested improvements, reported typos, and proposed new citations and material. Enjoy the #WhatIfBook plus code and data. Also, it's free.

People: please don't ML for the sake of ML. I keep seeing manuscripts using fancy machine learning on brain-imaging data, where, in my opinion (having processed a lot of brain-imaging data), the method is way too complex for the richness of the data. Fancier is not better per se

📣 Do you want to learn about recent advances in causal inference? Colleagues at INSERM are organising a workshop gathering international experts in the field. Bonus: it's happening in two amazing locations 🌇🇫🇷