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causalab.bsky.social
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
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Last chance to register! Course registration closes next week: 🚨Mon, June 9th @ 12:00 PM ET🚨 Will we see you in our #causalinference classroom?

submitted 22 hours ago • 0 comments

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

submitted 1 day ago • 1 comment

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...

submitted 14 days ago • 0 comments

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...

submitted 24 days ago • 0 comments

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/

submitted 24 days ago • 0 comments

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"

submitted 24 days ago • 0 comments

Course registration deadline: 🚨June 9th @ 12:00 PM ET🚨 Registration may hit capacity before this date. Save your spot in our #causalinference classroom 👇

submitted 29 days ago • 0 comments

How do we answer #causal questions when assumptions are violated? @jeremylabrecque.bsky.social (Erasmus MC) continues the 2025 Methods Series @ki.se 📆 May 20, 2025 ⏰ 15.00 CEST/9.00 ET 📍 All Methods Series talks virtual Register to attend online 👇 stats.sender.net/forms/e7JD1d...

submitted 30 days ago • 1 comment

See you at the next Cutter Lecture? Issa Dahabreh, CAUSALab researcher and Associate Professor of Epidemiology, will present on #causalinference and causal language for observational studies in medical journals. Details on the @harvardepi.bsky.social event below 👇

submitted 36 days ago • 0 comments

Why take Key Topics in Causal Inference (KTCI)? Hear from the 2024 cohort below 👇 KTCI designed for researchers interested in acquiring a roadmap to navigate #causalinference research landscape. Register now: causalab.hsph.harvard.edu/courses/

submitted 43 days ago • 0 comments

Check out the last Methods Series talk now on YouTube: youtu.be/QuQnZ4don54?...

submitted 44 days ago • 0 comments

New publication! FEP-CAUSAL paper in Nature Mental Health examined comparative effectiveness injectable vs oral antipsychotics. Results show long-acting injectable (LAI) medications may reduce relapse risk in the 3 years following first-episode psychosis. Article: www.nature.com/articles/s44...

submitted 45 days ago • 2 comments

New date available for CAUSALab Clinics! Free #causalinference consulting with CAUSALab postdoc fellows. Offered to Boston early-career investigators who research comparative effectiveness or safety of health interventions. 📅 May 7, 2025 Apply now: causalab.hsph.harvard.edu/causalab-cli...

submitted 49 days ago • 0 comments

Making summer plans? ☀️ CAUSALab's Summer Courses on Causal Inference kick off in 2 months! Learn from the #causalinference experts on campus @hsph.harvard.edu or online. Secure your spot: causalab.hsph.harvard.edu/courses/ #publichealth #epidemiology

submitted 50 days ago • 0 comments

Looking to grow your Bluesky network? Check out our new starter pack to connect with CAUSALab researchers, collaborators, and affiliates all in one place. Starter pack: go.bsky.app/FjCAFUx #publichealth #epidemiology #causalinference

submitted 51 days ago • 0 comments

We spent Friday afternoon exploring VA-CAUSAL and the future of learning health systems. 🔬 Many thanks to our wonderful speakers for contributing their perspectives to the 19th Kolokotrones Symposium. Subscribe on YouTube to be notified once recordings go live: www.youtube.com/@CAUSALab

submitted 52 days ago • 0 comments

Interested in combining randomized trial and real-world data? Combining Information for Causal Inference (CICI) explores generalizability & transportability analyses, general study design, & more. 💡 Taught by: Issa Dahabreh, Jose Zubizarreta 📆 June 23-27, 2025 causalab.hsph.harvard.edu/courses/

submitted 56 days ago • 0 comments

2 weeks away! @margaritamb.bsky.social (Murdoch Children's Research Institute, University of Melbourne) continues the 2025 Methods Series @ki.se. 📆 April 22, 2025 ⏰ 13.00 CEST/7.00 ET 📍 All Methods Series talks virtual Register now 👇 stats.sender.net/forms/e7JD1d... #publichealth #causalinference

submitted 58 days ago • 0 comments

This Friday! 19th Kolokotrones Symposium “Building a Learning Health System: the VA-CAUSAL Enterprise” 📆 Apr 11, 2025 ⏰ 10:30 AM – 3:00 PM ET 📍 In person @hsph.harvard.edu / online Free event will explore VA-CAUSAL and future of learning health systems. 🩺 Register now: lnkd.in/dTrWSnpF

submitted 59 days ago • 1 comment

NEW in 2025: ⭐ Fundamentals of Confounding Adjustment (FCA) Learn confounding adjustment in time-fixed settings & build a foundation for advanced methods. Self-paced course w/ video lectures & hands-on exercises. Ready to join our FCA classroom? Register now: causalab.hsph.harvard.edu/courses/

submitted 64 days ago • 2 comments

Scenes from IWHOD 📸 Last week at the International Workshop on HIV and Hepatitis Observational Databases (IWHOD), CAUSALab members presented research from the HIV-CAUSAL & Hep-CAUSAL Collaborations. Pictured: @miguelhernan.org, Sara Lodi, @isaacnunezs.bsky.social, Sophia Rein, Daniela van Santen

submitted 65 days ago • 1 comment

Low inventory alert 🚨 Limited summer course online spots remain: 1️⃣ Advanced Confounding Adjustment (ACA) - Online 2️⃣ Target Trial Emulation (TTE) - Online In-person spots open. Register now to secure your spot: causalab.hsph.harvard.edu/courses/

submitted 66 days ago • 0 comments

Congratulations to James M. Robins for winning the 2025 Committee of Presidents of Statistical Societies (COPSS) Distinguished Achievement Award and Lectureship! The COPSS award recognizes individuals with notable impact on statistical methods for scientific investigation.

submitted 70 days ago • 1 comment

Interested in using health databases for #causalinference research? Target Trial Emulation (TTE) covers the target trial emulation framework in increasingly complex settings. 📆 June 23-27, 2025 Taught by Babra Dickerman, Joy Shi, @miguelhernan.org Register now: causalab.hsph.harvard.edu/courses/

submitted 71 days ago • 1 comment

The 19th Kolokotrones Symposium is next month! “Building a Learning Health System: the VA-CAUSAL Enterprise” will explore how VA-CAUSAL may serve as a helpful model for future learning health systems. 📆 Apr 11, 2025 ⏰ 10:30 AM – 3:00 PM ET Save your spot: www.eventbrite.com/e/building-a...

submitted 72 days ago • 1 comment