CAUSALab
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: linktr.ee/causalab
- 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/...
- (1/3) “Our study shows that people with HIV and advanced liver disease remain at low but persistent risk of liver cancer (HCC) after hepatitis C is treated with direct-acting antivirals."(continued)
- (2/3) “[R]isk is highest in the early years after treatment initiation and then declines...These findings indicate that continued liver cancer surveillance appears most crucial in the first few years after hepatitis C treatment in people with HIV,” @dvansanten.bsky.social
- (3/3) Authors include @dvansanten.bsky.social, Mathieu Chalouni, Roger Logan, Sophia Rein, PhD, @miguelhernan.org, Sara Lodi
- Next week! Check out Issa Dahabreh's talk on trial augmentation. Details below 👇
- Join us in person or online on Feb 4 at 1pm ET for the Department's seminar series featuring Issa Dahabreh on "Trial Augmentation Using External Data and Models: Toward Harmony Between Observational Studies and Trials" ➡️ Go to event page to register: hsph.harvard.edu/epidemiology...
- 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...
- View the presentation recording on YouTube: youtu.be/Q8A5NEmRxyM?...
- 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.
- Dr. Danaei chairs and directs the Bernard Lown Scholars in Cardiovascular Health Program, which aims to train health professionals who will use #publichealth tools and strategies to prevent CVD and promote cardiovascular health in developing countries.
- 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...
- Link correction: hsph.harvard.edu/research/cau...
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- Correction: This event will be held January 27, 2026. The post incorrectly notes 2027.
- 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...
- Additional details regarding the 2026 summer courses, including course registration information, will be available this month.
- 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”
- Barbra will collaborate with co-recipient Nathanael Fillmore (VA Boston Healthcare System) on this project. Read the announcement: www.the-ici-fund.org/recipients/d...
- “With an initial application to ARPI sequencing in advanced prostate cancer, the project will deliver a methodological toolkit designed to generate high-quality evidence capable of informing future clinical practice guidelines.” (ICI)
- 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
- Recordings are now available on YouTube: youtu.be/ymOfEIo1kF8?...
- Reposted by CAUSALabNew 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?
- 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...
- 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....
- Authors: Sonia Hernandez Diaz @causalab.org @harvardpreg.bsky.social, Krista Huybrechts @hsph.harvard.edu @harvardpreg.bsky.social, Brian Bateman @stanfordmedicine.bsky.social
- 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
- Reposted by CAUSALabAs 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.
- 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...
- 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
- 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
- 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.
- 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...
- 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...
- (1/4) Event will introduce the epidemiology of autism, present what is currently known about the association of acetaminophen use during pregnancy and autism, describe possible explanations for association, and explore challenges/opportunities to design better studies to estimate the causal effect.
- (2/4) The symposium will conclude with an expert panel that will consider the question: where do we go from here?
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View full thread(4/4) Speakers’ remarks are based on their own scholarship and experience. As such, they speak for themselves, and not for Harvard University.
- 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....
- “The major takeaway for me is that we can use AI tools to significantly accelerate target trial emulation and the way clinical trials are designed and analyzed” said Piersilvio De Bartolomeis.
- 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...
- 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 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
