2022 Causal Courses

Causal Inference Learn from the Experts Flyer

Causal Inference: Learn from the Experts

Vaccination Requirement

Please note that Harvard University is requiring COVID-19 vaccinations and boosters for all visiting community members. Participants enrolled in the 2022 CAUSALab Summer Courses must be fully vaccinated and boosted before arriving on campus. The three doses must be of vaccines authorized by the FDA or World Health Organization. Participants will need to provide proof of vaccination status within the registration process for your purchase to be fulfilled. To adhere to the guidelines, registration for the course will require multiple parts. Once participants have submitted payment via the registration link, a place will be held in the course, and participants will receive an email with a link to a survey. All participants must upload proof of vaccination and booster via the survey link. Once proof of vaccination is submitted, you will receive an email confirmation within two business days authorizing your full registration to the course and your choice of payment will be charged. 


Week 1: Key Topics in Causal Inference

Week 1: Key Topics in Causal Inference
June 21 – June 24, 2022


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

Prerequisites: Participants are expected to be familiar with basic concepts in epidemiology and biostatistics, including linear and logistic regression and survival analysis techniques.

Week 2: Target Trial Emulation

Week 2: Target Trial Emulation
June 27 – July 1, 2022


New! 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 trialthe 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.


Monday Tuesday Wednesday Thursday Friday
9:30am – 11:00am Specifying the target trial Emulating time zero Hands-on: Adjusting for time-fixed confounders (II) Loss to follow-up and competing events Treatment strategies indistinguishable at time zero
11:10am – 12:30pm Hands-on: Estimating effects in a target trial Hands-on: Emulating sequential target trials Checking the emulation of randomization Hands-on: Adjusting for selection bias Hands-on: Cloning to compare sustained treatment strategies
BREAK Wrap-up
1:30pm – 3:00pm Emulating the target trial Emulating randomization When emulating randomization is not reasonable Sustained treatment strategies
3:10pm – 4:30pm Hands-on: Estimating effects in an emulated target trial Hands-on: Adjusting for time-fixed confounders (I) Hands-on: Estimating effects using instrumental variables Hands-on: Adjusting for time-varying confounders


Venue and logistics: The courses will be offered at

Kresge Auditorium, Room G1
Harvard T.H. Chan School of Public Health
677 Huntington Avenue, Boston, MA

Snacks, coffee, and a variety of lunch options are available for sale in the cafeteria and nearby restaurants.

Tuition: $700 (week 1), $1500 (week 2), to be paid at the time of registration. These courses are non-degree and non-credit.

Refund Policy: Cancellations on or before April 15, 2022 will be issued a full refund. Cancellations received between April 16, 2022 and May 13, 2022 will be issued a refund of 50%. After May 13, 2022, no refund will be issued.

If the courses need to be canceled for reasons related to COVID-19, a full refund will be issued.

Registration: Registration is now closed for the courses. Please email causalabcourses@hsph.harvard.edu if you have any questions or concerns.

Student Tuition Waivers

The deadline to submit a tuition waiver has passed and we are no longer accepting applications. Students who applied for waivers, please check your emails for tuition waiver decisions.



Additional questions?
Inquiries can be directed to Hayley Arnold