CAUSALab

Sonia Hernández-Díaz is Professor of Epidemiology and Co-Director of Harvard Program on Perinatal and Pediatric Pharmacoepidemiology (H4P) @hsph.harvard.edu

Oxford campus picture

Summer at Oxford 📸

Sonia Hernández-Díaz was featured at RWE Summer School 2025 @ox.ac.uk. Sonia presented #targettrial emulation and real-world evidence to inform safety of pharmaceuticals during pregnancy.

Thank you @ndorms.bsky.social @ox.ac.uk!

Publication in European Journal of Epidemiology: “Effect of colonoscopy screening on risks of colorectal cancer and related death: instrumental variable estimation of per-protocol effects”

Publication alert!

Research in European Journal of Epidemiology used trial data to examine the effect of colonoscopy screening on colorectal cancer & related death incidence.

Authors include @joy-shi.bsky.social bsky.social @miguelhernan.org

Read now:
link.springer.com/article/10.1...

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Missed an Epi Department event this year? Summer is the perfect time to catch up! From our seminar series and Cutter Lectures to our End-of-Year video, all our past Epi Department events are available on our YouTube channel. 🎥📚
Check them out and stay connected ➡️ www.youtube.com/@harvardepi

CEMFI Summer School Course, "Causal Inference for Health and Social Scientists" (Aug 25-29, 2025)

Don't miss out!

CAUSALab is partnering w/ @cemfi.es for the course, Causal Inference for Health and Social Scientists.

📆 Aug 25-29, 2025

CEMFI course introduces 2 step causal framework for experimental & non-experimental data. Applications still accepted.

www.cemfi.es/programs/css...

James Robins at SER 2025

SER 2025 @societyforepi.bsky.social included a session spotlighting James M. Robins⭐

"Celebrating James M. Robins Contributions to Epidemiology" explored Robins' impact, including his landmark 1986 paper. It concluded with his comments on progress still to come in #causalinference research.

Nedghie Adrien new role - Assistant Professor of Epidemiology in the Department of Chronic Disease Epidemiology at Yale University

Congratulations to researcher Nedghie Adrien for her new role as Assistant Professor of Epidemiology in the Department of Chronic Disease Epidemiology at Yale University!

We wish Nedghie the best as she begins her new role!
#causalab #causalinference #harvardchan #timevarying

CAUSALab Summer Courses group photos (KTCI, ACA, CICI, TTE)

That's a wrap!

Last week, the 2025 CAUSALab Summer Courses on Causal Inference came to a close @hsph.harvard.edu.

Thank you to our 400+ attendees, who represent:
🏢 200+ organizations
🌎 38 countries
📍 35 U.S. states

Thank you to our wonderful instructors and fellows who make the courses possible.

José Zubizarreta teaches Combining Information for Causal Inference (CICI)

Mid-week calls for matching methods 💡

José Zubizarreta makes his CICI 2025 debut with Lecture 5:
Multivariate Matching Methods with Enhanced Internal and External Validity.

CICI & TTE Day 2 classroom photos

Tuesday morning kicked off with lectures from Issa Dahabreh & @miguelhernan.org

CICI 👉 Generalizability and transportability analyses for outcomes assessed at the end of the study in non-nested trial designs

TTE 👉 Emulating time zero
#causalinference #causalab #publichealth

Week 1 course collage

Summer Courses Week 1 ✅

We were thrilled to welcome participants to campus for Key Topics in Causal Inference (KTCI) & Advanced Confounding Adjustment (ACA)

Next up 👉 Combining Information for Causal Inference (CICI) & Target Trial Emulation (TTE) @hsph.harvard.edu #causalinference

Joy Shi ACA session

Good morning, Advanced Confounding Adjustment (ACA)!

Joy Shi kicks the day off with a hands-on session: estimating the effect of static treatment strategies via parametric g-formula. #causalinference #publichealth

Key Topics in Causal Inference (KTCI) classroom photos

Day 1 recap 🔎

@miguelhernan.org opened Key Topics in Causal Inference (KTCI) with an overview of #causlinference methodology & standardization.

Judith Lok focused on conditioning and Inverse Probability Weighting. #publichealth #epidemiology #causalab

Day 1 of the Advanced Confounding Course by @causalab.bsky.social #EngagingWeekAhead

2025 CAUSALab Summer Courses on Causal Inference - welcome graphic

Class is back in session! ☀️

We are thrilled to kick off the 2025 CAUSALab Summer Courses @hsph.harvard.edu today.

Attending KTCI or ACA? Be sure to tag us on social. Here’s to an engaging two weeks of learning!

#causalinference #epidemiology #causalab #hsph

(4/4) Postdoc Guanbo Wang is starting as Assistant Professor at The Dartmouth Institute for Health Policy & Clinical Practice. He will have a secondary appointment in the Department of Biomedical Data Science at the Geisel School of Medicine @dartmouthcollege.bsky.social

(3/4) Postdoc Daniel M. Low is beginning a role as Tenured-Track Research Scientist (Principal Investigator) @childmindinstitute.bsky.social.

(2/4) Research Associate Sarah Robertson has begun a new role as Assistant Professor of Epidemiology @dartmouthcollege.bsky.social.

(1/4) Postdoc David Liang was accepted into the Psychiatry Residency Program at One Brooklyn Health Brookdale University Hospital and Medical Center.

New roles - David Liang, Sarah Robertson, Daniel Low, Guanbo Wang

Congrats to our departing team members on their new opportunities! 🎉

Details in comments. We wish David, Sarah, Daniel, and Guanbo all the best in this new chapter!

#causalinference #publichealth #epidemiology #harvard

Congrats! 🎉

Last chance to register!

Course registration closes next week:
🚨Mon, June 9th @ 12:00 PM ET🚨

Will we see you in our #causalinference classroom?

List of presentations available on our LinkedIn: www.linkedin.com/posts/causal...

SER conference banner

Are you attending SER 2025?

The annual SER @societyforepi.bsky.social Conference is next week in Boston, MA (June 10-13, 2025). Be sure to stop by sessions featuring our CAUSALab team members!

Access the conference schedule:
epiresearch.org/annual-meeti...
#causalinference #publichealth #harvard

Causal Inference for Learning Health Systems: the VA-CAUSAL Enterprise - YouTube The 19th Kolokotrones Symposium, Building a Learning Health System: the VA-CAUSAL Enterprise, was held at Harvard T.H. Chan School of Public Health on April ...

Watch the 19th Kolokotrones Symposium recordings now on YouTube: www.youtube.com/playlist?lis...

CEMFI Summer School Course, "Causal Inference for Health and Social Scientists" (Aug 25-29, 2025)

See you in Madrid?

CAUSALab is partnering w/ @cemfi.es for the course, Causal Inference for Health and Social Scientists.

📆 Aug 25-29, 2025

Taught by @miguelhernan.org, CEMFI course introduces 2 step causal framework for experimental & non-experimental data.

www.cemfi.es/programs/css...

YouTube video by CAUSALab at Harvard T.H. Chan 2025 CAUSALab Methods Series with Jeremy Labrecque

Watch the recording now on CAUSALab's YouTube channel: youtu.be/9B-XyxW7R6w?...

Q&A with Joy Shi | Harvard T.H. Chan School of Public Health Joy Shi is an epidemiologist and assistant professor at the Mongan Institute, Massachusetts General Hospital and CAUSALab, Department of Epidemiology, Harvard

Check out our new Q&A with @joy-shi.bsky.social! Joy Shi is an epidemiologist and assistant professor at the Mongan Institute, MGH and @causalab.bsky.social. The Q&A touches upon her new role, time as a student, research interests, teaching and much more!

➡️ Read: hsph.harvard.edu/epidemiology...

CICI student testimonial: "I've constantly turned to CICI to enhance my method skills... having them in my toolkit has significantly strengthened my skill set."

Interested into Combining Information for Causal Inference (CICI)?

CICI explores generalizability & transportability analyses, general study design, & more. 💡

Course registration closes June 9th. Register for CICI: causalab.hsph.harvard.edu/courses/

Rienna Russo PhD dissertation, "Beyond Intention-to-Treat Analyses in Randomized Trials: Utilizing Per-Protocol Estimands and Observational Data to Investigate Strategies for Cardiovascular Disease Prevention"

Congrats to CAUSALab researcher Rienna Russo for successfully defending her PhD dissertation! 🎉

"Beyond Intention-to-Treat Analyses in Randomized Trials: Utilizing Per-Protocol Estimands and Observational Data to Investigate Strategies for Cardiovascular Disease Prevention"