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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.

New Study! “Emulating a Target Trial of Interventions Initiated During Pregnancy“ by CAUSALab researchers Sonia Hernández-Díaz, Yu-Han Chiu, and @MiguelHernan.

A pilot checklist to navigate real world data.

Published in Epidemiology.

Learn more: https://causalab.sph.harvard.edu/causalab-news/

CAUSALab News

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CAUSALab

Did you miss last week's CAUSALab Methods Series with
Mats Strensrud at Karolinksa Institutet?

Check out the recording on CAUSALab's YouTube channel👉https://youtu.be/mrQDmItupkI

+ Mark your calendars! Next session takes place on Mar. 28 with Elizabeth Stuart.

Sign up: https://stats.sender.net/forms/e7JD1d/view

2023 CAUSALab Methods Series with Mats Stensrud

As part of 2023 CAUSALab's Methods Series at Karolinska Institutet, Mats Stensrud, Assistant Professor of Statistics at Swiss Federal Institute of Technology...

YouTube

Congratulations to Dr. Sarah Urbut on being awarded the first Quest Diagnostics and Steve Rusckowski Early Career Investigator Award for Preventive Cardiovascular Medicine Research!

We are excited to have Sarah join the CAUSALab team in a few months.

CAUSALab researchers Sonja Swanson & Lizzie Diemer published their newest study Partial Identification of the Average Causal Effect in Multiple Study Populations: The Challenge of Combining Mendelian Randomization Studies in the Journal of Epidemiology.

Learn more: https://causalab.sph.harvard.edu/causalab-news/

CAUSALab News

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CAUSALab

Time's running out! Early-bird registration for American PsychoPathological Association's 2023 Conference ends next week.

CAUSALab Director @MiguelHernan will be giving a talk on #causalinference in #mentalhealth research.

This year's conference organizer is Dost Ongur, Co-Director of LEAPCenter with @MiguelHernan.

Visit https://appassn.org/home/2023-annual-meeting/ to register.

#APPA23

2023 Annual Meeting: March 2-4, 2023 | APPA

If you're at the International Conference on Health Policy Statistics, keep an eye out for members of the CAUSALab team and say hello!

CAUSALab Director @MiguelHernan, Professors Jose Zubizarreta & Issa Dahabreh, & researchers
Sarah Robertson, Bijan Niknam, & Yigi Li are presenting today and tomorrow.

#ICHPS2023

Interested in #causalinference?

CAUSALab Director @MiguelHernan worked with HarvardX to put together a free #CausalDiagramsCourse.

Learn more and sign up below:
https://www.edx.org/course/causal-diagrams-draw-your-assumptions-before-your

Causal Diagrams: Draw Your Assumptions Before Your Conclusions

Learn simple graphical rules that allow you to use intuitive pictures to improve study design and data analysis for causal inference.

edX

Sign up now! Next CAUSALab Methods Series takes place in 2 weeks, Tues 17 Jan at 15.00 CEST/9:00am EST.

Mats Stensrud from Swiss Federal Institute of Technology will present on identification of optimal treatment strategies in the presence of unmeasured confounding.

More info & to register 👇
https://stats.sender.net/forms/e7JD1d/view

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 https://causalab.sph.harvard.edu/courses/

2024 Causal Courses

We are excited to formally announce that CAUSALab is hosting its annual summer of courses on causal inference between June 3 and June 14, 2024. All courses will take place in Boston, Massachusetts …

CAUSALab