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causalab.org
CAUSALab
@causalab.org
Actionable #causalinference with real-world impact.

We use health data to help decision makers make better decisions.
We train investigators at Harvard T.H. Chan School of Public Health.

Connect with CAUSALab: https://linktr.ee/causalab
Pinned
Save the dates! 📌

CAUSALab's Summer Courses on Causal Inference return June 2026. Course information and registration details to be announced in the coming weeks.

Join our 2025-2026 listserv to receive updates first:
harvard.az1.qualtrics.com/jfe/form/SV_... #causalinference #epidemiology
Don't miss the final Methods Series talk this year!

Arvid Sjölander @ki.se presents, "A generalization of the mechanism-based approach for age-period-cohort models."

📆 Dec 16, 2025
⏰ 15.00 CET/9.00 ET
📍 Online

2026 talks TBA. Register 👇
stats.sender.net/forms/e7JD1d...
December 3, 2025 at 3:23 PM
Giving Tuesday is here!

At CAUSALab, we develop free software, host public symposia, and make our research results and code openly available worldwide.

Contributions help us turn data into actionable insights that improve health globally. Support our mission: hsph.harvard.edu/research/cau...
December 2, 2025 at 3:23 PM
On behalf of the CAUSALab team, Happy Thanksgiving!

We are thankful for our collaborators, funders, and community for supporting our causal inference research @hsph.harvard.edu.

#epidemiology #healthdata #hsph #harvardchan #publichealth #harvard
November 27, 2025 at 4:54 PM
Scenes from the Kolokotrones Symposium 📸

Last week, CAUSALab held the 20th Kolokotrones Symposium, "Acetaminophen During Pregnancy and Autism: What Does Causal Inference Take?"

Thank you to our wonderful speakers for contributing their perspectives and research. #causalinference
November 20, 2025 at 8:11 PM
Reposted by CAUSALab
As part of our monthly series spotlighting @causalab.bsky.social, we’re excited to introduce the lab’s team of 45+ members—including staff, faculty, researchers, postdoctoral fellows and students—who help to advance #causalInference research through their various roles.

Meet the team below ⬇️
November 19, 2025 at 11:03 PM
Last month, CAUSALab researcher Sophia Rein was awarded a grant during the 2025 ADIA Lab symposium.

‘Causal AI for the Generation of Real-World Evidence from Healthcare Data’ will support software development for Causal AI (combining the g-formula with deep learning). Congrats, Sophia!
November 17, 2025 at 10:16 PM
Last call for Friday's symposium! Registration closes Wednesday 11/12 at 9:00 AM ET.

In-person limited to Harvard ID holders due to space restrictions. Online attendance free & public. Details will be emailed to registrants this week.
You're invited! ✉️

20th Kolokotrones Symposium: “Acetaminophen During Pregnancy and Autism: What Does Causal Inference Take?"

Details in comments. In-person limited to Harvard ID holders due to space restrictions. Online attendance free & public.

Register:
www.eventbrite.com/e/acetaminop...
November 10, 2025 at 2:45 PM
Follow along this month as @harvardepi.bsky.social spotlights the CAUSALab team! 👇 #causalinference #epidemiology
This month, we are featuring @causalab.bsky.social as the final installment in our '25 series spotlighting our research groups.

Launched in '21, by @miguelhernan.org, CAUSALab uses data to investigate what works in medicine, public health & policy.

Follow along to learn more about #causalinference
November 5, 2025 at 1:47 PM
Save the dates! 📌

CAUSALab's Summer Courses on Causal Inference return June 2026. Course information and registration details to be announced in the coming weeks.

Join our 2025-2026 listserv to receive updates first:
harvard.az1.qualtrics.com/jfe/form/SV_... #causalinference #epidemiology
October 29, 2025 at 7:18 PM
Next week! Check out the Methods talk, "Informing clinical decision making in mental health when randomized trials are not available."
Clinical decision making in mental health 🧠

Alejandro Szmulewicz @hsph.harvard.edu continues the Methods Series @ki.se in 2 weeks.

📆 Nov 4, 2025
⏰ 15.00 CET/9.00 ET
📍 Online

Attend online:
stats.sender.net/forms/e7JD1d...
#causalinference #epidemiology
October 28, 2025 at 3:47 PM
Clinical decision making in mental health 🧠

Alejandro Szmulewicz @hsph.harvard.edu continues the Methods Series @ki.se in 2 weeks.

📆 Nov 4, 2025
⏰ 15.00 CET/9.00 ET
📍 Online

Attend online:
stats.sender.net/forms/e7JD1d...
#causalinference #epidemiology
October 21, 2025 at 3:14 PM
Next week! Join CAUSALab postdoc Jing Li for a seminar on Non-Iterative Conditional Expectation (NICE) g-formula.
Join us online on Wednesday, October 22 at 1:00pm ET for the Department's "Works-In-Progress" seminar with Dr. Jing Li speaking on "Deep Learning–Based Estimator for the Non-Iterative Conditional Expectation (NICE) g-formula" ➡️ Go to event page to register: hsph.harvard.edu/epidemiology...
October 15, 2025 at 6:31 PM
You're invited! ✉️

20th Kolokotrones Symposium: “Acetaminophen During Pregnancy and Autism: What Does Causal Inference Take?"

Details in comments. In-person limited to Harvard ID holders due to space restrictions. Online attendance free & public.

Register:
www.eventbrite.com/e/acetaminop...
October 9, 2025 at 5:51 PM
A new editorial in @ai.nejm.org explores how AI computational tools can transform causal analyses.

Researchers examine how AI can support #targettrial emulation, enhance observational data extraction and analysis, and improve efficiency of clinical trials.

🔗 ai.nejm.org/doi/full/10....
October 6, 2025 at 2:59 PM
Register now to attend next Tuesday's Methods talk 🔎
2️⃣ weeks! 2025 Methods Series @ki.se continues.

"Promoting the use of causal inference methods in applied health research by integrating causal reasoning into academic curricula: barriers and solutions."

📆 Oct 7, 2025
⏰ 15.00 CEST/9.00 ET
📍 Online

Register 👇
stats.sender.net/forms/e7JD1d...
October 1, 2025 at 1:52 PM
2️⃣ weeks! 2025 Methods Series @ki.se continues.

"Promoting the use of causal inference methods in applied health research by integrating causal reasoning into academic curricula: barriers and solutions."

📆 Oct 7, 2025
⏰ 15.00 CEST/9.00 ET
📍 Online

Register 👇
stats.sender.net/forms/e7JD1d...
September 23, 2025 at 5:05 PM
September is in full swing!

CAUSALab kicked off the semester with a team social welcoming new members to our lab. Here's to a fall season full of collaboration and exciting projects ahead!

#causalinference #harvardchan #causalab
September 22, 2025 at 8:50 PM
Let's talk causal mediation and separable treatments.

Vanessa Didelez (Leibniz Institute for Prevention Research and Epidemiology) continues the 2025 Methods Series @ki.se next week.

📆 Sep 23, 2025
⏰ 15.00 CEST/9.00 ET
📍 Virtual

Register to attend online 👇
stats.sender.net/forms/e7JD1d...
September 16, 2025 at 7:21 PM
Today kicks off National Postdoc Appreciation Week!

We are thankful to have a team of incredible postdocs who help make our #causalinference research @hsph.harvard.edu possible.

We appreciate your key contributions & hard work!
#NPAW2025 #causalab #harvardchan #publichealth
September 15, 2025 at 2:14 PM
Reposted by CAUSALab
New publication: Effect of colonoscopy screening on risks of colorectal cancer and related death: instrumental variable estimation of per-protocol effects now in the European Journal of Epidemiology

➡️ Read here: link.springer.com/article/10.1...

#cancer #screening #colorectal
Effect of colonoscopy screening on risks of colorectal cancer and related death: instrumental variable estimation of per-protocol effects - European Journal of Epidemiology
Background We recently reported per-protocol estimates of colonoscopy screening on colorectal cancer incidence and mortality in NordICC, a large-scale randomized trial. Our results may be affected by ...
link.springer.com
May 23, 2025 at 2:26 PM
The CAUSALab Methods Series @ki.se is back!

Fall 2025 lineup kicks off Sep 23 with Vanessa Didelez (BIPS), “Causal mediation and separable treatments in time-to-event analyses.”

All talks are virtual, except for Nov. 4, 2025 hybrid session.

Learn more & register:
hsph.harvard.edu/research/cau...
September 9, 2025 at 2:44 PM
Reposted by CAUSALab
When using observational data for #causalinference, the choice isn’t between emulating or not emulating a #TargetTrial, but between reporting or not reporting the target trial that we are emulating.

For those who prefer to be explicit about what they do, we have developed the TARGET Statement 👇
🎯 TARGET Guideline published 🎉

TARGET is a reporting guideline for observational studies of interventions that use the target trial framework.

Over 3 years the @TARGETGuideline was rigorously developed and was co-published today in @jama.com & @bmj.com

doi.org/10.1001/jama.2025.13350

#episky
September 3, 2025 at 10:30 PM
Fall applications are OPEN for CAUSALab Clinics!

Free #causalinference consulting open to Boston-based, junior clinical investigators. Postdoc fellows provide guidance pertaining to #studydesign, data analysis and results for works in progress.

Learn more & apply:
hsph.harvard.edu/research/cau...
September 4, 2025 at 3:19 PM
It's National Suicide Prevention Month. 💙💜

This year, CAUSALab is shining a spotlight on researchers furthering the field of suicide prevention. (See comments)
September 3, 2025 at 6:11 PM
Reposted by CAUSALab
Welcome back students! Joining us from 29 different countries hailing from 6 continents across the various degree programs are: 72 PhD students, 15 SM1 students, 13 SM1 summer-only students, 62 SM2 students, and 76 MPH Epi students in the Department of Epidemiology @hsph.harvard.edu.
September 2, 2025 at 7:24 PM