CAUSALab
@CAUSALab
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Actionable #causalinference with real-world impact. We use health data to help decision makers make better decisions. We train investigators @HarvardChanSPH.
Boston, MA
Joined March 2021
CAUSALab's summer courses are back!. -Key Topics in Causal Inference (KTCI).-Advanced Confounding Adjustment (ACA).-Combining Information for Causal Inference (CICI).-Target Trial Emulation (TTE).🆕 Fundamentals of Confounding Adjustment (FCA). Learn more:
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Congrats to @CAUSALab's Director @_MiguelHernan for being awarded @PublicHealth's 2023 Lowell Reed Award! . This award recognizes @_MiguelHernan's groundbreaking work in the field of #causalinference & his contribution to shaping #healthpolicy & #research #methodology worldwide.
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We're thrilled to announce the European branch of the CAUSALab. The Institute of Environmental Medicine @KarolinskaInst will host an extension of the CAUSALab’s research and training activities. Welcome @_tony_matthews @berglund_anita @mfeychting @conormaccy @JessYoungEpi !
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Interested in #causalinference? . Learn from top experts in the field. Summer courses offered at the Harvard T.H. Chan School of Public Health in June, 2022. 👉Key Topics in Causal Inference .👉Target Trial Emulation . Stay tuned for more details.
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Interested in #causalinference? This summer, learn from top experts in the field. Four courses will be held both in person at the Harvard T.H. Chan School of Public Health and online. 👉To find out which courses are right for you visit
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Welcome to a new era for #causalinference researchers. In 2021 and 2022, three major international prizes have been awarded to . economists.statisticians.epidemiologists.computer scientists . who work on methods for causal inference from #observational data. Meet the laureates:.
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Join us @HarvardEpi on May 6 for the 6th Cutter Symposium!. CAUSALab Director @_MiguelHernan will deliver his talk, "Make Up Your Mind: Is Causal Inference from Observational Data a Legitimate Scientific Task?" . Full schedule & free Zoom registration:.
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Mark your calendar: You're invited to the Inaugural Event of the CAUSALab on Friday, November 5. Register to reserve your seat (if joining in person) or to receive the link. Free registration begins on October 13. We look forward to seeing you there!.
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CAUSALab courses week one, Key Topics in Causal Inference, has begun!. @_MiguelHernan is starting off the day with our morning session on Introduction to Causal Inference. #CAUSALabSummer
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James Robins and colleagues receive the Rousseeuw Prize for Statistics 2022. The prize, worth 1 million dollars, rewards excellence in statistical research which has a significant impact on everyday life. The team of laureates "helped launch a causal revolution in statistics.".
KBF awards for the first time the biennial Rousseeuw Prize for Statistics 2022 to 5 researchers for their research on causal inference in medicine and public health @_MiguelHernan @CAUSALab @HarvardEPI @HarvardBiostats
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And that's a wrap on the 2022 CAUSALab Summer Courses on Causal Inference. In total we had 257 participants from all across the globe attend and participate in these courses. We thank each and every one of you for your hard work and thoughtful questions 👏🎉 #SummerAtCAUSALab
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Please join us in congratulating @CAUSALab researcher @joy_shi1 who was promoted to Instructor of Epidemiology at @HarvardChanSPH & @HarvardEpi! . Congratulations, Joy! We are lucky to have you part of the @CAUSALab team.
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New from CAUSALab: "Effectiveness of Localized Lockdowns in the COVID-19 Pandemic". A novel synthetic control approach suggests that local lockdowns cannot control pandemic growth in the presence of effects from neighboring areas that don't have lockdowns.
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And just like that the 2023 CAUSALab courses come to an end. What an incredible two weeks it has been!. Pictured below are some of our amazing participants, instructors, and fellows of TTE and CICI who made this week memorable. We appreciate all of you 👏
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Matching is widely used for confounding adjustment, but the matched population may end up being too small and unrepresentative. @bijan_niknam and José Zubizarreta at the CAUSALab explain how to optimize matching to address those problems. @JAMA_current.
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Registration is now open 🎉 . Secure your seat for one or two of our four summer courses today! Participants can attend the courses in person @HarvardChanSPH or online. 👉 To register visit our website linked below
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When is #causal interpretation appropriate in observational studies?. @CAUSALab faculty member Issa Dahabreh & @KBibbinsDomingo propose a new framework for medical journal causal communication in @JAMA. Read the full article: #hsph #harvardchan #causalab.
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Mark your calendars! . @CAUSALab Methods Series at @karolinskainst kicks off in 2 weeks! . @bldestavola launches the 2023/24 series with a virtual talk on Target Trial Emulation for Policy Evaluations: Potentials & Challenges. Register for the session 👇.
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Congrats to Eric Tchetgen Tchetgen for being awarded the Marshall Joffe Epidemiologic Methods Research Award @societyforepi!. Eric is an instructor for CAUSALab’s summer courses on #causalinference. We look forward to future collaborations! . Learn more:
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Interested in comparing effect estimates from observational studies and randomized trials? . Then you're interested in #benchmarking observational analyses that emulate a #TargetTrial. Don't miss Issa Dahabreh's talk.
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Are you ready for it? Registration for the 2023 CAUSALab summer courses will open on Monday, January 30th at 10:00 a.m. EST. Participants can attend the courses in person @HarvardChanSPH or online. 👉For details and logistics visit
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@CAUSALab Director @_MiguelHernan will be presenting this Wed, April 5 about #AI for #causalinference in health research. What can we learn from data and how much learning can we automate?. Join us in person @HarvardChanSPH or online. Register 👉
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We’re excited to announce the @CAUSALab Methods Series at Institutet för Miljömedicin @KarolinskaInst. Sign up to our mailing list to receive Zoom links: Questions? Contact @_tony_matthews.
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@CAUSALab's Summer Courses '23 have officially kicked off! . Welcome to our students that are joining us from around the world! Our students come from over 60 different organizations. We are looking forward to an exciting two weeks of learning! #causalinference
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The 2024 CAUSALab Summer Courses have officially begun 🎉. We are thrilled to welcome attendees from around the world and across various organizations. Here’s to an incredible two weeks of learning!. #2024CAUSALabcourses
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A @NobelPrize for #causalinference from observational data. The Royal Swedish Academy of Sciences awards the. "Sveriges Riksbank Prize in Economic Sciences in Memory of Alfred Nobel". to David Card, Josh Angrist (@metrics52), and @Guido_Imbens. Congrats!.
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Last, but surely not least. The highly anticipated talk from James Robins: “Causal Inference from randomized experiments – How do we know we are right?”. Live now on the CAUSALab YouTube:.
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Please join us in congratulating @CAUSALab researcher José R. Zubizarreta who was promoted to Professor at @HarvardChanSPH & @harvardmed this past fall! . Congratulations, José! We are lucky to have you part of the @CAUSALab team.
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👉 Interested in causal effects for time-varying treatments?. Sign up for our new course Advanced Confounding Adjustment. @joy_shi1 @barbradickerman and @_MiguelHernan cover the theory and implementation of advanced methods to address bias due to confounding and selection bias.
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Registration for the highly anticipated #2024CAUSALabcourses is now OPEN!. Join us this summer @HarvardChanSPH or #online. Secure your seat today! Visit our website for more information about enrollment and how to register #causalab #harvardchan
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Jamie Robins, Rousseeuw Prize for Statistics laureate, presented this morning @KU_Leuven on "Causal Inference from Complex Longitudinal Data: Lessons Learned and Open Problems." . Congratulations to Jamie on this prestigious award for his work on #causalinference.
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Today, we ended with Tyler J. VanderWeele's lecture on causal mediation analysis. Such great back to back sessions! #SummerAtCAUSALab
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BREAKING @NEJM: Head-to-head comparison of two #COVID19 vaccines: Pfizer-BioNTech vs. Moderna. A collaborative project of investigators @CAUSALab and @VAResearch in Boston. When randomized trials don't exist, observational data can be used to emulate a #TargetTrial.👇.
1/.Which mRNA vaccine is more effective?. Our large-scale head-to-head VA study showed:. —Low risk of breakthrough infections/severe Covid-19 after either.—Risks slightly lower for Moderna.—Pattern held across diverse subgroups, alpha & delta periods.
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Please join us in congratulating @CAUSALab.researcher @AlejandroSzmul1 who has been promoted to Instructor of Epidemiology at @HarvardChanSPH.& @HarvardEpi! . Congratulations, Alejandro! We are lucky to have you part of the @CAUSALab team.
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Week 1 of #2024CAUSALabcourses was one for the books🎉. Congratulations to our 187 attendees on an exciting week of #causalinference. Next up 👉 Target Trial Emulation (TTE) & Combining Information for Causal Inference (CICI)
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Student tuition waiver applications are now open for our 2024 courses on #causalinference!. This summer, we offer four unique courses led by academic experts in the field @HarvardChanSPH. Course registration will open in early February ⏰. Learn more 👉
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Our target trial emulation conducted to estimate the best strategy for unresponsive depression is out @BiologicalPsyc1: Led by @AlejandroSzmul1 & incredible @CAUSALab team with @_MiguelHernan, @KerollosWanis, @dost_ongur, @royperlis, Sonia Hernandez-Diaz
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Week one courses have come to an end 😭. We appreciate our participants of both KTCI and ACA who made this week unforgettable and enriching. We also express our gratitude to the instructors and fellows who devoted their time and expertise to creating and teaching these courses 👏
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TODAY . Our own Alejandro Szmulewicz (@AlejandroSzmul1) defends his doctoral dissertation on #causalinference for depression, suicide, and psychosis. Join us in person @HarvardEpi or online.
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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:
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Photos taken post-ceremony at @K_B_Foundation's 2022 Rousseeuw Prize for Statistics with laureates Jamie and @_MiguelHernan. The award ceremony was held today, 10/12/22, at @KU_Leuven. Laureates were recognized for their pioneering research on #causalinference.
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Interested in Mendelian randomization for survival analysis with time-varying exposures?. Conventional instrumental variable estimation doesn't work, even if we actually had an instrumental variable. But g-estimation does. @Joy_Shi1 explains it here 👇.
New paper out in @BMC_series!. We propose methods for instrumental variable (IV) analyses of time-varying exposures and survival outcomes (with a focus on applications to Mendelian randomization studies) 👇: (1/n).
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Join @HarvardEpi next week for @barbradickerman's seminar: . "Causal Inference from EHRs: Opportunities for Cancer Prevention". Thursday, February 3 at 11am EST. Free registration here:.
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Exciting news! @CAUSALab has partnered with @CEMFIsumschool for a NEW course taught by @_MiguelHernan. “Causal Inference for Health and Social Scientists” covers a 2-step #causal framework. Applications due June 14, 2024. 📅8/26-8/30.📍Madrid. Learn more:
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Pygformula for #causalinference now available on our GitHub!. This comprehensive package is the 1st to implement #gformula in Python. Development led by Postdoc Fellow @JingLi17609667. GitHub repository:. Package documentation:.
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Congrats to @CAUSALab researcher @_gmales!. He was awarded the #NARSAD Young Investigator Award by @BBRFoundation for his project on #SuicidePrevention using #TargetTrial emulation to estimate the comparative effectiveness of antidepressants for post-discharge suicide prevention.
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The CAUSALab and @HarvardEpi invite you to this year's first Kolokotrones Circle Seminar open to the public:. George Davey Smith: "Pre-registered triangulation of evidence.". Please join us on Nov 22 virtually or in person. Registration open until Nov 19:.
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That’s a wrap on week two of #2024CAUSALabcourses ✨. Thank you to our 194 participants who attended Target Trial Emulation (TTE) & Combining Information for Causal Inference (CICI). #TTE #CICI #causalinference
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Bringing nutritional epidemiology into the era of causal inference at #SER2022. It's all about #TargetTrial emulation. Joy Shi (@Joy_Shi1): instrumental variable methods. Yu-Han Chiu (@HanChiu_): confounder adjustment methods. Session chairs: @Deirdre_Tobias & @LajousMartin
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The @CAUSALab Methods Series starts next week! Tues Sep 20 at 15.00 CEST/9:00am EST. @MarcusMunafo will give a talk titled “Effects of smoking on behavior and mental health: a case study in the need for triangulation”. Register for Zoom link below:
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The moment you've all been waiting for:. CAUSALab experts James Robins, @_MiguelHernan, @MissLodi, & Issa Dahabreh discuss: "Causal inference without randomized experiments: How do we know we're right?". . Rewatch the entire inaugural event now on YouTube!.
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Interested in building a foundation of #causalinference methodology? . KTCI provides a roadmap to navigate the current causal research landscape and covers topics such as #gformula, inverse probability weighting & mediation analysis. Register for KTCI:
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Don't miss out! . We're wrapping our last @CAUSALab Methods Series for Spring '23 with @Lizstuartdc on Mar. 28. @Lizstuartdc is presenting on combining electronic health records & clinical trial data to understand treatment effect heterogeneity. Sign up:
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Predictive #AI systems often fail because of “dataset shift” or lack of “domain adaptation”. Without new data to retrain the algorithm, an explicitly causal approach is needed: Enter Counterfactual Prediction. @barbradickerman and colleagues explain here.
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Key Topics in Causal Inference (KTCI) is back in session!. Director @_MiguelHernan kickstarted the week with an intro to #causal fundamentals. Tyler VanderWeele taught a session on causal mediation analysis. Attending #2024CAUSALabcourses? Be sure to tag @CAUSALab this week!
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Welcome Week Two Participants to Target Trial Emulation. We welcome a diverse group of participants from many different areas around the world. #CAUSALabSummer
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Interested in leveraging health databases for causal research?. Target Trial Emulation (TTE) explores #targettrial emulation frameworks with observational data. Co-taught @barbradickerman , @joy_shi1 & @_MiguelHernan. Register to attend in-person:.👉
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👉 Interested in external control arms for randomized trials? . Take our new course Combining Information for Causal Inference. Instructors Issa Dahabreh and José Zubizarreta will cover the theory and practice of methods for the joint analysis of trials and real world data.
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Congratulations to @CAUSALab researcher, Emma McGee!. Emma was awarded the Eric and Wendy Schmidt Center (EWSC) PhD Fellowship from @broadinstitute. This fellowship recognizes PhD students doing exceptional work in #causalinference, #machinelearning, and #humanbiology.
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Congrats to @EmmaEMcGee for successfully defending her PhD dissertation!. Emma presented “Estimating the causal effects of dynamic strategies using observational data: applications to cancer survivors.”. We are excited for Emma to continue with @CAUSALab as a Postdoctoral Fellow.
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CAUSALab Director @_MiguelHernan discusses his Richard D. Remington Methodology Lecture, "Do Lifestyle Interventions Work?: The Promises and Challenges of Causal Inference from Cohort Studies," which he delivered at EPILifestyle 2022 in Chicago.
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Congrats to Barbra Dickerman (@barbradickerman).on her new position as Assistant Professor @HarvardEpi. Barbra is a #causalinference star and we are so lucky to work with her @CAUSALab. Looking forward to many years of innovations and advances in #cancer research.
This week we welcome our newest faculty member, Barbra Dickerman, to our department! Learn more about her in the following q&a: @HarvardChanSPH.
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Mark your calendar: You're invited to the Kolokotrones Symposium on Nov 4. Learn about causal inference for suicide prevention. Featuring leaders in epidemiology, psychiatry, and health policy. Register to reserve your seat or to receive the zoom link.
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For the first time we are hosting two courses simultaneously this year. Our #new course Advanced Confounding Adjustment began yesterday! 🎉. @joy_shi1 and @barbradickerman welcomed 130 participants from across the globe in leading the first couple lectures and hands-on sessions.
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And that's a wrap on the 15th #KolokotronesSymposium!. Thank you to our speakers, panelists & attendees on participating on this important topic of #causalinference on #cardiovascular devices. Today was an engaging & insightful day and we look forward to future collaborations.
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How is it day two already? Miguel's lectures today covered emulating both time zero and randomization. Such great questions were asked from our participants. Keep it up!👏 #CAUSALabSummer
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Congrats to Jamie Robins and @_MiguelHernan! Congrats also to Andrea Rotnitzky, Eric Tchetgen Tchetgen, and Thomas Richardson. These laurates won @K_B_Foundation's 2022 Rousseeuw Prize for Statistics. Follow along next week for live updates. More info:
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At @CAUSALab, we want to help as many people learn about #causalinference. This is the reason why we offer student tuition waivers for our Summer Courses in Causal Inference. In 2023, we granted 48 tuition waivers. Congrats to our hard-working & talented recipients!
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Bittersweet feeling having week one be officially over😭. We ended the course with a wonderful open Q&A session this afternoon. Thank you to everyone who attended. We appreciated your thoughtful questions and eagerness to learn. Next week⏭️Target Trial Emulation
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Congratulations to @CAUSALab faculty member Issa Dahabreh,. winner of the 2021 Rothman Epidemiology Prize for best paper published @EpidemiologyLWW. Issa proposed novel methods for causally interpretable meta-analyses of randomized trials.
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We aim to build opportunities for accessible #causalinference research. @CAUSALab awarded 42 tuition waivers for students to join us for #2024CAUSALabcourses!. Recipients represented:.🎓 25 institutions.🌎 13 countries.📍 7 US states. Congrats to this year's cohort!
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Did you miss the last @CAUSALab Methods Series w/@Lizstuartdc from @JohnsHopkinsSPH? . Check it out on @CAUSALab's YouTube channel:. Also! Keep an eye out for Fall '23 @CAUSALab @karolinskainst Methods Series! Exciting roster of speakers TBA this summer.
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Packed room for wine & cheese session with @_MiguelHernan at #IWHOD2023 in Athens. For drug repurposing, decisions to graduate compounds to #randomizedtrials have been based on preclinical data. How do we incorporate clinical (#observational) data to this process? Should we?
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Please join us in congratulating @CAUSALab.researcher Elizabeth Diemer who has been promoted to Research Associate at @HarvardChanSPH.& @HarvardEpi!. Congratulations, Lizzie! We are lucky to have you part of the @CAUSALab team.
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Excited to welcome participants of week two for Target Trial Emulation and our #new course, Combining Information for Causal Inference!. @_MiguelHernan and Issa Dahabreh delivered captivating lectures to kick today off. Witness our extraordinary learning journey—follow along 👈
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Want to learn from leading #causalinference experts? This is your chance!. @CAUSALab's Summer Courses are starting in 3 weeks on June 20 @HarvardChanSPH. Don't miss out! Registration closes on June 12. Learn more & register 👇
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New Study! “Emulating a Target Trial of Interventions Initiated During Pregnancy“ by @CAUSALab researchers Sonia Hernández-Díaz, @HanChiu_, & @_MiguelHernan. A pilot checklist to navigate real world data. Published in @EpidemiologyLWW. Learn more:
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👉 Interested in literature on #causalinference methods? Take our course Key Topics in Causal Inference. In-person participants will be able to attend a private Q&A panel with instructors @_MiguelHernan, Judith Lok, James Robins, Eric Tchetgen Tchetgen, and Tyler VanderWeele
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Mark your calendars! . Next @CAUSALab Methods Series with @Lizstuartdc takes place next month, Tues 28 Mar at 15.00 CEST/9:00am EST. Sign up for a Zoom link👇.
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On the second-to-last day of Key Topics in Causal Inference, Eric Tchetgen Tchetgen delivered an excellent series of lectures on #causalmethods, focusing on taming unmeasured confounding
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It was great to welcome the @TARGETGuideline team to @HarvardChanSPH to reach consensus on items for a #ReportingGuideline for target trial emulation. We look forward to the guideline being piloted and released in the coming year. Sign up to contribute via
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Final day of our Target Trial Emulation course 😢.@_MiguelHernan started off the day with a lecture on treatment strategies indistinguishable at time zero. @barbradickerman lead our final hands-on session covering cloning to compare sustained treatment strategies #CAUSALabSummer
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Mark your calendars for the 2024 CAUSALab Summer Courses on #causalinference 🗓️. 👉 Week 1: June 3 - June 7, 2024.👉 Week 2: June 10 - June 14, 2024. Stay tuned for more information on course details and registration. In the meantime, explore our website!.
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Did you miss last week's @CAUSALab Methods Series with @mats_julius @karolinskainst? . Check out the recording on @CAUSALab's YouTube channel👉 Mark your calendars! Next session takes place on Mar. 28 with @Lizstuartdc. Sign up:
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The CAUSALab is launching a research program on #suicide prevention. In this interview in @elpais_salud, psychiatrist-epidemiologist Gonzalo Martinez-Ales (@_gmales) reviews what is known to prevent suicide. (text available in Spanish only at this time).
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Congrats to @CAUSALab authors @_MiguelHernan, @Sarah_E_Rob, Issa Dahabreh, & Jamie Robins! . @AmJEpi & @societyforepi named "Study Designs for Extending Causal Inferences from a Randomized Trial to a Target Population" one of the 2021 Articles of the Year.
We think every article we publish is terrific, but 10 have been selected by our editors as the Articles of the Year! The first 5 were shared yesterday; here is the second half!
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Join the @CAUSALab Methods Series on Tues 20 Sept at 15.00 CEST/9:00am EST. @MarcusMunafo will give a talk titled “Effects of smoking on behaviour and mental health: a case study in the need for triangulation”. Join our mailing list to receive Zoom link:
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Last night's @CAUSALab networking event was a big success! . This is a new offering for our participants taking the @CAUSALab Summer Courses in-person at @HarvardChanSPH. It's a great opportunity for students across the globe & different institutions to connect w/one another.
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Congrats to @CAUSALab researcher, @AlejandroSzmul1 for #NARSAD Young Investigator Award by @BBRFoundation!. Recognized for contributing to create an international consortium of cohorts of individuals with early psychosis: the FEP-CAUSAL Collab. More Info:
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Summer course Advanced Confounding Adjustment (ACA) kicked off yesterday!. Instructors @joy_shi1 and @barbradickerman delivered the lectures, while curriculum fellow @ReinSoph led both hands-on sessions. Attendees, tag us @CAUSALab or use #2024CAUSALabcourses in your posts!
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Many Mendelian randomization analyses of pharmaceutically modifiable biomarkers are restricted to non-users of the drug. @joy_shi1 explains at #SER2022 that this approach is biased and explains how to do it better. Work with Sonja Swanson, Elizabeth Diemer, and @_MiguelHernan.
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Assistant Professor of Global Cancer Prevention @barbradickerman, from @HarvardEpi, led today's hands-on sessions on sequential emulation, inverse probability weighting, and standardization for Target Trial Emulation.
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POV: Instructor José Zubizarreta is teaching you multivariate matching methods. Today’s Combining Information for Causal Inference (CICI) agenda also includes:. 👉 Balancing weighting methods.👉 Observational data.👉 Methods adjustment. #2024CAUSALabcourses #CICI
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Let's hear it for day two! Tyler J. VanderWeele is hosting not one but both sessions today. We start the morning looking at outcome-wide studies. #CAUSALabSummer
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Are you in Toronto? Catch @CAUSALab Director @_MiguelHernan at @UofTDSI tomorrow, 2/28! . Miguel will be presenting on #CausalInference with his talk, "Without Causal Inference, AI is Fake (Fake Intelligence". Learn more and register below:.
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Join the next @CAUSALab Methods Series on Tues 25 Oct at 15.00 CEST/9:00am EST. @JessieBaldwin will present on protecting against researcher bias in secondary data analysis: challenges and potential solutions. Register for a Zoom link below:.
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Interested in causal effects for #timevarying treatments?. Advanced Confounding Adjustment (ACA) teaches complex #gmethods and highlights inverse probability weighting & parametric g-formula. Will we see you at ACA June 3-7, 2024?. Register in-person: .👉
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Yesterday @_MiguelHernan and Judith Lok kicked off our longest-standing course Key Topics on Causal Inference. This year, we welcome 117 participants to this course attending both in-person @HarvardChanSPH and #online.
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