Actionable
#causalinference
with real-world impact.
We use health data to help decision makers make better decisions.
We train investigators
@HarvardChanSPH
.
You're invited to the 18th Kolokotrones Symposium!
“Causal Inference for Population Mental Health"
📆Nov 15, 2024
⏰10:30 AM – 3:00 PM ET
📍
@HarvardChanSPH
/ online
This event launches our collaborator, the Population Mental Health Lab.
Register now:
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.
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
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:
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:
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!
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
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."
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
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.
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 👏
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
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
Congratulation to
@CAUSALab
's
@gli942
on her dissertation defense!
Katherine presented on, "Estimating the Causal Effects of Interventions for Covid-19 Prevention."
We look forward to having Katherine join the
@CAUSALab
team as a postdoc.
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 👇
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:
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.
🚨 Epi Methods Series 🚨
We're excited to welcome Issa Dahabreh to
@karolinskainst
to give a talk titled "Randomized trials and their observational emulations: benchmarking and joint analysis".
Date: Thurs Nov 25, 15.00 (CET)
Place: Zoom
Sign up:
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
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
.
@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
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
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!
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:
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.
👉 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.
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
.
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
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)
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 👉
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 👏
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:
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
.
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)
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:
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:
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:
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:
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:
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!
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:
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:
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
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!
Welcome Week Two Participants to Target Trial Emulation. We welcome a diverse group of participants from many different areas around the world.
#CAUSALabSummer
👉 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.
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.
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
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.
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.
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.
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
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:
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!
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
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.
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!
@CAUSALab
is looking forward to an exciting year ahead!
We kicked off the year with a team social enjoying some food, drinks & karaoke.
We've got a busy year ahead & we can't wait to share
#research
our team has been working on. Stay tuned for
@CAUSALab
news and events!
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?
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.
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 👈
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 👇
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:
👉 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
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👇
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
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
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
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!
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)
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!
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:
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.
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:
On Wednesdays, we attend Joy and Barbra's hands-on sessions! 🥳
Yesterday, our instructors and fellows covered a variety of topics including parametric
#gformula
for time-fixed treatments and the bias of conventional methods for time-varying treatments.
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
.
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.
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
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
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:
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:
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:
👉
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
.