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The CAUSALab’s 2022 Summer Courses on Causal Inference

June 21 - July 1

This summer learn from experts on causal inference!

Week 1 (June 21 to June 24): This 4-day course introduces concepts and methods for causal inference from observational data. Upon completion of the course, participants will be prepared to further explore the causal inference literature. Topics covered include the g-formula, inverse probability weighting of marginal structural models, causal mediation analysis, and methods to handle unmeasured confounding. The last day will end with a “capstone” open Q&A session with the instructors. Instructors: Miguel Hernán, Judith Lok, James Robins, Eric Tchetgen Tchetgen & Tyler VanderWeele

Week 2 (June 27 to July 1): This 5-day course will provide hands-on training for causal inference using health databases. Students will learn the principles of target trial emulation and how to implement them for causal research with real-world data. This course is designed for researchers and analysts who use real world data to learn what works. Causal inference from observational data can be conceptualized as an attempt to emulate a pragmatic randomized trial—the target trial. Through a combination of lectures and hands-on sessions, the course introduces the target trial emulation framework in increasingly complex settings and dissects examples of emulations in the health sciences. Students will learn how to carry out causal analyses of healthcare databases such as administrative claims and electronic health records. All sessions will offer a choice between R and SAS.  Instructors: Barbra Dickerman, Miguel Hernán, & Sonja Swanson

Prerequisites: Participants are expected to have experience with the analysis of health databases in academic or industry settings. Prior introductory courses on study design and data analysis, working knowledge of R or SAS, a laptop computer with R or SAS.

Both courses will take place in-person in Boston, Massachusetts. These courses are non-degree and non-credit. Enrollment in either course is not eligible for visa sponsorship. Tuition will be $700 for week one and $1,500 for week two, to be paid at the time of registration. To view our refund policy and recently updated course content visit our website here.

Before registering for the course, note that Harvard University is requiring COVID-19 vaccinations and boosters for all visiting community members. Vaccines and boosters must be authorized or approved by the FDA or World Health Organization. Participants enrolled in the 2022 CAUSALab Summer Courses must abide by these requirements set by the University and must be fully vaccinated and boosted before arriving on campus. You will need to provide proof of vaccination status within the registration process for your purchase to be fulfilled.

It is important to note that during both course weeks the classroom will be filled to max capacity. During this time, all Harvard University guidelines will be followed including masking and social distancing when possible. Our guidelines will be updated on our website if this policy changes before the course begins in June.

For more information and to register please visit https://causalab.sph.harvard.edu/courses/.  If you have any questions email causalabcourses@hsph.harvard.edu.


June 21
July 1
Public Events, School-wide Events, University-wide Events
Event type(s):
Lectures / Seminars / Forums, Trainings and Workshops