1 date available for CAUSALab Clinics! Free #causalinference consulting with postdoc fellows. Offered to Boston early-career investigators who research comparative effectiveness or safety of health interventions. 📅 May 13, 2026 Learn more & apply: hsph.harvard.edu/research/cau...

This week: EuroCIM 2026 CAUSALab researcher Isaac Núñez is representing our team at this week's conference in Oxford, UK. Isaac is presenting "Causal inference when treatment affects outcome ascertainment." Learn more: eurocim.org/oxford-2026/ #causalinference #epidemiology

The 21st Kolokotrones Symposium was a success! Thank you to our wonderful speakers for contributing their perspectives at this event, a collaboration with the Smith Center. Recordings will be posted on YouTube in the coming weeks. Subscribe for notifications: www.youtube.com/@CAUSALab

Two common misconceptions when repurposing data for #causalinference: 1) the target trial is an ideal trial 2) the target trial protocol can be prespecified Our new paper examines how the target trial protocol depends on the causal question AND the available data. journals.lww.com/epidem/abstr...

Interested in combining randomized trial and real-world data? Combining Information for Causal Inference (CICI) explores generalizability & transportability analyses, general study design, & more. 💡 Instructors: Issa Dahabreh, Jose Zubizarreta 📆 June 15-18, 2026 hsph.harvard.edu/research/cau...

One week away! Don't miss the next Methods Series presentation with Alex Ocampo.

Thinking about taking Advanced Confounding Adjustment (June 15-18)? Secure your spot today.

Interested in using g-methods with time-varying confounders?💡 Advanced Confounding Adjustment (ACA) teaches inverse probability weighting, parametric g-formula, & more. 📆 June 15-18, 2026 📍 @hsph.harvard.edu / online Apply: causalab.hsph.harvard.edu/courses/

Searching for a postdoc opportunity? CAUSALab is reviewing applications for the T32 Training Program in Comparative Effectiveness Research for Suicide Prevention (Funded by NIMH, T32 MH125815). 🔗 Apply: form.jotform.com/201476846966... Learn more in comments. #causalinference

Alex Ocampo continues the 2026 Methods Series speaker lineup in 2 weeks @ki.se 👇 "Simplifying Causal Mediation Analysis for Time-to-Event Outcomes using Pseudo-Values." 📆 April 7, 2026 ⏰ 15.00 CEST/9.00 EDT 📍 Online Register to attend: stats.sender.net/forms/e7JD1d...

Attending IWHOD 2026? Meet our team at the International Workshop on HIV and Hepatitis Observational Databases (IWHOD). Attendees include Sara Lodi, Daniela van Santen @isaacnunezs.bsky.social 📅 March 26-28, 2026 📍 Thessaloniki, Greece About IWHOD: iwhod.org

Register now for the 21st Kolokotrones Symposium! External Controls for Causal Inference: Study Design and Analysis is a collaboration w/ the Richard A. and Susan F. Smith Center for Outcomes Research. 📆 Apr 3, 2026 ⏰ 1:30-3:30 PM 📍 Online/In-Person Register: www.eventbrite.com/e/external-c...

Want to build a foundation of #causalinference methodology? Key Topics in Causal Inference (KTCI) is for researchers interested in acquiring a roadmap to the current causal research landscape. 📆 June 8-12, 2026 📍 In-person @hsph.harvard.edu / online Learn more: hsph.harvard.edu/research/cau...

Thinking about taking Target Trial Emulation (June 8-12)? We asked last year's participants for their thoughts 👇

Interested in using health databases for #causalinference research? Target Trial Emulation (TTE) covers the target trial emulation framework in increasingly complex settings. 📆 June 8-12, 2026 Taught by Babra Dickerman, Joy Shi, @miguelhernan.org Apply now: hsph.harvard.edu/research/cau...

Do not miss the 21st Kolokotrones Symposium! External Controls for Causal Inference: Study Design and Analysis is a collaboration with the Richard A. and Susan F. Smith Center for Outcomes Research. 📆 Apr 3, 2026 ⏰ 1:30-3:30 PM 📍 Online/In-Person Register: www.eventbrite.com/e/external-c...

Next week! Don't forget to register Carole Marxer's Methods talk on target trial emulation.

Congratulations to CAUSALab researcher Sophia Rein for her promotion to Instructor of Epidemiology! Thank you for all your incredible work, Sophia. @harvardepi.bsky.social #causalinference #publichealth #hsph #epidemiology

Next up in the Methods Series @ki.se! Carole Marxer presents, "Target Trial Emulations to Study Drug Safety During Pregnancy." 📆 Mar 10, 2026 ⏰ 15.00 CET/10.00 EDT 📍 Online or In-Person (IMM Salen, Campus Solna) Register: stats.sender.net/forms/e7JD1d...

1 week until the next Methods talk! Details below.

Last call for tuition waiver applications! 🚨 Deadline this week: February 15, 2026 at 11:59 PM (EST). Info and link below.

The Methods Series @ki.se continues in 2 weeks! @pawelmorzywolek.bsky.social presents, "Inference on local variable importance measures for heterogeneous treatment effects." 📆 Feb 24, 2026 ⏰ 15.00 CET/9.00 EST 📍 Online or In-Person Register: stats.sender.net/forms/e7JD1d...

See you in June? ☀️ Applications for the 2026 Summer Courses on Causal Inference are open! Join CAUSALab this summer to learn from the #causalinference experts on campus @hsph.harvard.edu or online. Learn more & secure your spot today: hsph.harvard.edu/research/cau...

Save the date for the 21st Kolokotrones Symposium! 📌 📆 April 3, 2026 📍 In-person @hsph.harvard.edu or online Spring symposium details to be announced in the coming weeks. #causalinference #publichealth

A new article used HepCAUSAL data to examine hepatocellular carcinoma (HCC) risk after direct-acting antivirals (DAA) treatment. Researchers found about "2.5% of people with HIV and advanced liver fibrosis or cirrhosis are diagnosed with HCC by 6 years post-DAA." Article: doi.org/10.1093/cid/...

Next week! Check out Issa Dahabreh's talk on trial augmentation. Details below 👇

CAUSALab is excited to welcome Professor Goodarz Danaei to our team! Goodarz Danaei is Bernard Lown Professor of Cardiovascular Health in the Department of Global Health and Population and faculty affiliate @harvardepi.bsky.social.

The Methods Series @ki.se is back! @epiellie.bsky.social kicks off the 2026 speaker lineup next Tuesday, "How do we actually draw a causal graph? A proposal for evidence-based best practices." 📆 Jan 27, 2026 ⏰ 15.00 CET/9.00 EST 📍 Online Register to attend 👇 stats.sender.net/forms/e7JD1d...

New dates available 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...

Apply now for a 2026 student tuition waiver! ⏰ Limited waivers available for qualified PhD students w/out alternative funding to attend #causalinference Summer Courses @hsph.harvard.edu 📅 Deadline: 2/15/26 11:59 PM ET Review eligibility & apply: hsph.harvard.edu/research/cau...

New article @bmj.com reviews procedures for eligibility and treatment assignment for #targettrial emulation. "Starting right: aligning eligibility and treatment assignment at time zero when emulating a target trial" Authors include @miguelhernan.org. Read the article: www.bmj.com/content/392/...

Happy holidays from CAUSALab ☃️ On behalf of our whole team, we wish you a season filled with joy! We are looking forward to an exciting 2026 at @hsph.harvard.edu. #publichealth #causalinference #epidemiology #harvardchan

Barbra Dickerman is co-recipient of a Fall 2025 Innovation in Cancer Informatics Major Grant Award! “Developing a Generalizable Causal AI Framework for Precision Sequencing of Cancer Therapies: A Use Case in Advanced Prostate Cancer”

New study: Small benefits and risks of COVID-19 vaccines in children in Madrid. Hospitalization risk very low in unvaccinated, lower in vaccinated. 6-11 years old: no myocarditis cases 12-17 years old: myocarditis risk very low in vaccinated, lower in unvaccinated journals.lww.com/pidj/fulltex...

Next Tuesday! See you there?

New publication @nejm.org! "Untangling the Risks of Antidepressants in Pregnancy" The letter examines controversy surrounding SSRIs and highlights confounding by maternal psychiatric as a key challenge confronted by observational studies. Read the letter: www.nejm.org/doi/full/10....

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...

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...

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

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

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 ⬇️

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!

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.

Follow along this month as @harvardepi.bsky.social spotlights the CAUSALab team! 👇 #causalinference #epidemiology

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

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

Next week! Join CAUSALab postdoc Jing Li for a seminar on Non-Iterative Conditional Expectation (NICE) g-formula.

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...

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....