Miguel Hernán

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Miguel Hernán

Miguel Hernán

@_MiguelHernan

Using health data to learn what works. Making #causalinference less casual. Director @CAUSALab | Professor @HarvardChanSPH | Methods Editor @AnnalsofIM

Boston Katılım Ağustos 2015
182 Takip Edilen41.7K Takipçiler
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Miguel Hernán
Miguel Hernán@_MiguelHernan·
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.
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Miguel Hernán
Miguel Hernán@_MiguelHernan·
This is getting increasingly harder to understand, @RobertKennedyJr . In the America First era, when a U.S. federal agency wants to do a randomized trial, it sends $1.6 million to Denmark? I don't run trials, but so many excellent U.S. researchers do. Aren't they good enough?
News from Science@NewsfromScience

Public health scientists are raising concerns following news of a $1.6 million award from the U.S. Centers for Disease Control and Prevention for a trial of hepatitis B vaccines in newborn babies in the West African nation of Guinea-Bissau. scim.ag/45iYgcx

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CAUSALab
CAUSALab@CAUSALab·
You're invited! 20th Kolokotrones Symposium: “Acetaminophen During Pregnancy and Autism: What Does Causal Inference Take?" Info in comments. In-person limited to Harvard ID holders due to space restrictions. Online attendance free & public. Register: eventbrite.com/e/acetaminophe…
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Guy Gadboit
Guy Gadboit@gadboit·
OK quick thread about the stats fu involved in trying to sort out whether acetaminophen causes autism or not and some of our various misunderstandings. The excellent book recommended by @mbw61567742... x.com/mbw61567742/st…
Michael Weissman@mbw61567742

@PatrickSSte @gadboit @realZenelan You can stratify by any *potential* other cause to isolate the effect of the cause in which you're interested. Try reading Causal Inference in Statistics: A Primer. It's fun to learn, even for those of us past our prime.

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Miguel Hernán
Miguel Hernán@_MiguelHernan·
I have a question for @RobertKennedyJr. You want to Make America Healthy Again. Exactly which year you’d like to go back to? 2007, 1992, 1983, 1976…? It’s hard to evaluate your policies without this piece of information. (Ok if a member of your staff replies)
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Miguel Hernán
Miguel Hernán@_MiguelHernan·
All CDC datasets have been anonymously uploaded here; archive.org/details/202501… Thanks to whoever made it possible that taxpayers can access the resources that were paid for by their taxes.
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Miguel Hernán
Miguel Hernán@_MiguelHernan·
2/ Immortal time may occur when individuals are 1) assigned to treatment strategies based on post-eligibility information or 2) determined to be eligible based on post-assignment information #TargetTrial emulation prevents it by synchronizing eligibility and assignment at time 0
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Miguel Hernán
Miguel Hernán@_MiguelHernan·
1/ That "immortal time" is so frequent in survival analyses for #causalinference is fascinating. Because "immortal time" doesn't exist in the data, *we* create it when misanalyzing data. Our paper pubmed.ncbi.nlm.nih.gov/39494894/ summarizes why immortal time arises & how to prevent it.
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CAUSALab
CAUSALab@CAUSALab·
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…
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Miguel Hernán
Miguel Hernán@_MiguelHernan·
@CAUSALab @HarvardChanSPH @HarvardEpi I’m so thankful that I could work side-by-side with Roger Logan for over two decades. He was a cornerstone of @CAUSALab. I learned a lot from him. Roger’s expertise and generosity will be very much missed.
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CAUSALab
CAUSALab@CAUSALab·
Congrats to Roger Logan on his retirement! Roger has worked as a @CAUSALab Senior Research Scientist @HarvardChanSPH @HarvardEpi for 23 years. He has been a valuable team member & made major contributions to #causalinference research. Wishing Roger all the best in this chapter!
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CAUSALab
CAUSALab@CAUSALab·
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…
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CAUSALab
CAUSALab@CAUSALab·
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!
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Miguel Hernán
Miguel Hernán@_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
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Miguel Hernán
Miguel Hernán@_MiguelHernan·
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👇
CAUSALab@CAUSALab

It was great to welcome the @TARGETGuideline team to @HarvardChanSPH to reach consensus on items for a #ReportingGuideline for target trial emulation. We look forward to the guideline being piloted and released in the coming year Sign up to contribute via redcap.link/target-piloting

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Keşfet

@RobertKennedyJr @mbw61567742 @gadboit @hamandpineappl1 @HarvardChanSPH @CAUSALab @HarvardEpi @HTAiOrg