My paper on Mendelian randomization (MR) with time-varying exposures came out a while ago and I’m finally writing a tweetorial. Many thanks to collaborators and CAUSALab for their contributions. So let’s talk about MR and what it's estimating. (1/x) x.com/epidemiologylw…

Get ready! Registration for the 2022 CAUSALab summer courses will open Monday, February 28th at 4:00 pm EST. Both weeks will be held in person at the Harvard T.H. Chan School of Public Health. Course details and logistics can be found here: causalab.sph.harvard.edu/courses/

Week 2 of the CAUSALab summer courses is all about how to emulate a #TargetTrial using healthcare databases. A combo of lectures + hands-on sessions in R/SAS. Come join us! Registration now open: ow.ly/H50b50I6hFU

1/ TODAY: We compared the safety of #COVID19 mRNA vaccines in the largest healthcare system in the US. TAKE-HOME MESSAGE: Both Moderna and Pfizer vaccines are quite safe. If interested in vaccination, you can confidently use whichever one is available. jamanetwork.com/journals/jamai…

Excited to be leading this initiative with Alejandro Szmulewicz Join us at CAUSALab and let's talk #causalinference

📢 Postdoc opportunity in #cancer research! 📢 ✊ Causal inference 🖥️ Large EHR databases 🎯 Dynamic strategies for cancer control 🤝 Fantastic team Apply here 👇

#Postdoc candidates! Interested in #CausalInference and #EHRdata for #CancerResearch? Work with Barbra Dickerman. Projects on 💊Drug repurposing 🔎Smarter screening strategies ⚕️Optimal timing and sequencing of therapy (+ more!) Apply👇 causalab.sph.harvard.edu/postdoctoral/

Please join us in congratulating CAUSALab researcher Joy Shi who was promoted to Instructor of Epidemiology at Harvard T.H. Chan School of Public Health & Harvard Epidemiology! Congratulations, Joy! We are lucky to have you part of the CAUSALab team.

🚀New CAUSALab summer course!🚀 Advanced Confounding Adjustment Learn to implement g-methods (IP weighting, parametric g-formula) in the settings of time-fixed and time-varying treatment. 4 days of lectures + hands-on sessions in R/SAS. Register here! causalab.sph.harvard.edu/courses/

I am thrilled that @ConnorBGrady will be joining the PhD in Population Health Sciences Harvard T.H. Chan School of Public Health Harvard Epidemiology in Fall 2023! Can't wait to team up on cancer-causal projects.

A big congratulations to CAUSALab's doctoral graduates, Chelsea Messinger, MD, PhD, David Bellamy, Kᴀᴛʜᴇʀɪɴᴇ Guilin Li, and @KerollosWanis! We are so proud of your accomplishments and wish you many more successes in the future. Congratulations!

Meet Joy Shi, Instructor Harvard Epidemiology. Her work focuses on the development of novel causal inference methods—primarily for instrumental variable analysis—and their applications to chronic diseases. 👉 Expand your knowledge by learning from Joy Shi in ACA or TTE!

At #SER2023? Catch Emma McGee's talk on estimating long-term effects of lifestyle interventions for cancer survivors using target trial emulation! "Cancer epidemiology: A life course perspective in the causal era," 1:45-3:15p today, Salon E Harvard Epidemiology CAUSALab

#SER2023 attendees interested in cancer & causal inference, check out Joy Shi's work to emulate target trials of PSA-based screening strategies & prostate cancer mortality using EHRs: Poster P278, 6:30-7:30p today Harvard Epidemiology CAUSALab

For the first time we are hosting two courses simultaneously this year. Our #new course Advanced Confounding Adjustment began yesterday! 🎉 Joy Shi and Barbra Dickerman welcomed 130 participants from across the globe in leading the first couple lectures and hands-on sessions.

So excited for the second week of CAUSALab summer courses! Looking forward to meeting participants of our Target Trial Emulation course today 🎉

Had a great time serving as a Teaching Fellow for the ACA course. Big thanks to the instructors Barbra Dickerman , Joy Shi, and Miguel Hernán , my co-fellows Sophia Rein , Naiyu Chen , and Sanjana Bhaskar , as well as to all participants for this insightful week!

Today, Curriculum Fellows Sarah Robertson & Lawson led wonderful hands-on sessions 👏 For CICI, Sarah covered composite #datasets & balance assessment. For TTE, Lawson delved into estimating effects in target trials vs emulated target trials. Learn more about our fellows below ⬇️

Meet our terrific #TTE curriculum fellow, Emma McGee! She is now in her third year working on the courses, and we can't imagine them without her. Emma recently graduated from Harvard Epidemiology and joined CAUSALab as a postdoc 👏 Learn more about Emma below ⬇️ #2024CAUSALabcourses