Miguel Hernán

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. Also, it's free.

Anyone interested in science in the U.S. should read this. insidehighered.com/opinion/views/…

You're invited to the 18th Kolokotrones Symposium! “Causal Inference for Population Mental Health" 📆Nov 15, 2024 ⏰10:30 AM – 3:00 PM ET 📍@HarvardChanSPH / online This event launches our collaborator, the Population Mental Health Lab. Register now: eventbrite.com/e/101662220337…

Interested in working w/ @CAUSALab as a PhD student? We are hosting two Fall 2024 info sessions for prospective PhD students within @HarvardEpi. Session 1: Oct 3, 2024, 9:00 – 10:00 AM ET Session 2: Nov 25, 2024, 9:00 – 10:00 AM ET Register to attend: causalab.sph.harvard.edu/prospective-ph…

In this Friday's PCT Grand Rounds, @_MiguelHernan of @CAUSALab at @HarvardChanSPH discusses causal estimands and asks whether we should be posing different causal questions in randomized trials. Join us! #biostatistics #pctGR ➡️ duke.is/pctgr20240712

We aim to build opportunities for accessible #causalinference research. @CAUSALab awarded 42 tuition waivers for students to join us for #2024CAUSALabcourses! Recipients represented: 🎓 25 institutions 🌎 13 countries 📍 7 US states Congrats to this year's cohort!

See Dr. Miguel Hernan present at the Conference on Big Data in Biomedical and Population Health Sciences. Miguel Hernan, MD, DrPH, (@_MiguelHernan) is the Director of the CAUSALab (@CAUSALab) at Harvard T.H. Chan School of Public Health (@HarvardChanSPH). bit.ly/PennBigData2024

Biden stutters. So do I. At the debate, he froze, appeared to lose his train of thought, and tripped over his words. Every stutterer knows how embarrassing this is: people feel uneasy and think you're an idiot. But acumen and speech fluency are separate things, as we all saw.

That👇should be the most comprehensive lesson-learned from the #covid19 pandemic. And people have to accept that politics makes also wrong decisions under these conditions. But somtimes it is even worse to do nothing. And retrospectively one is always smarter. Thx @_MiguelHernan

This week I discussed methods for health technology assessment @HTAiOrg: "Observational data (#RWD) can often be used to emulate a #TargetTrial, but we need more research to characterize questions that can only be answered by randomized trials." Let's learn the limits of #RWE

I was afraid my origin story would be revealed eventually…

The @TARGETGuideline team needs your help. If you work on #causalinference from observational data, please get involved in piloting the reporting guidelines for #TargetTrial emulation. Diverse viewpoints will make the guidelines more useful for everyone in #RWE. More info👇

Did you know that the LATE estimator was independently described in 1994 by Imbens & Angrist in Econometrica (@ecmaEditors) and Baker & Lindeman in Statistics in Medicine? onlinelibrary.wiley.com/doi/10.1002/si… A delightful historical overview of LATE is now available tandfonline.com/doi/full/10.10…

The 2024 CAUSALab Summer Courses have officially begun 🎉 We are thrilled to welcome attendees from around the world and across various organizations. Here’s to an incredible two weeks of learning! #2024CAUSALabcourses

Exciting news! @CAUSALab has partnered with @CEMFIsumschool for a NEW course taught by @_MiguelHernan “Causal Inference for Health and Social Scientists” covers a 2-step #causal framework. Applications due June 14, 2024 📅8/26-8/30 📍Madrid Learn more: cemfi.es/programs/css/c…

With #TargetTrial emulation becoming increasingly popular, it's important to understand what it can and cannot do. In this new podcast, I discuss how target trial emulation can 1) improve causal inference from observational data, and 2) extend inferences from randomized trials.