🆕 Fundamentals of Confounding Adjustment (FCA) Learn confounding adjustment in time-fixed settings & build a foundation for advanced methods in our new course. Self-paced w/ video lectures & hands-on exercises. Available now - mid June. Register: causalab.hsph.harvard.edu/courses/

2 weeks away! Margarita Moreno-Betancur Margarita Moreno-Betancur (Murdoch Children's Research Institute (MCRI) University of Melbourne) continues the 2025 Methods Series Karolinska Institutet. 📆 April 22, 2025 ⏰ 13.00 CEST/7.00 ET 📍 All Methods Series talks virtual Register now 👇 stats.sender.net/forms/e7JD1d/v… #publichealth

Interested in combining randomized trial and real-world data? Combining Information for Causal Inference (CICI) introduces different settings for combining information in health sciences. 💡 Taught by Issa Dahabreh, Jose Zubizarreta. 📆 June 23-27, 2025 causalab.hsph.harvard.edu/courses/

We are excited to kick off CAUSALab 's 19th Kolokotrones Symposium on "Building a Learning Health System: The VA-CAUSAL Enterprise"! We look forward to a great day of learning how VA-CAUSAL may serve as a helpful model for future learning health systems. #causalinference

We spent Friday 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: youtube.com/@CAUSALab

Making summer plans? ☀️ CAUSALab's Summer Courses on Causal Inference kick off in 2 months! Learn from the #causalinference experts on campus Harvard T.H. Chan School of Public Health or online. Secure your spot: causalab.hsph.harvard.edu/courses/ #publichealth #epidemiology

New CAUSALab Clinics date available! Free #causalinference consulting with 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-clini…

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

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 the #causalinference research landscape. Register now to secure your spot: causalab.hsph.harvard.edu/courses/

See you May 9th for the Cutter Lecture? Issa Dahabreh, CAUSALab researcher and Associate Professor of Epidemiology, will present on #causalinference and language for observational studies in medical journals. Details on the Harvard Epidemiology event below 👇 hsph.harvard.edu/epidemiology/e…

Fantastic talk by Dr Inoue Kosuke Inoue on how to use machine learning to identify individuals who derive the greatest benefit from a treatment or policy. We really need to get past focusing on “average” effects! Thank you for spending this year with us BIDMC Smith Center. Kyoto University

How do we answer #causal questions when assumptions are violated? Jeremy Labrecque (Erasmus MC) continues the 2025 Methods Series Karolinska Institutet 📆 May 20, 2025 ⏰ 15.00 CEST/9.00 ET 📍 All Methods Series talks virtual Register to attend online 👇 stats.sender.net/forms/e7JD1d/v…

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