What are the CAUSALab Clinics?
The CAUSALab Clinics is a free causal inference consulting service offered to junior clinical investigators who are affiliated with Boston-area hospitals and who conduct research on the comparative effectiveness or safety of health interventions. Investigators are invited to present their works in progress, and postdoctoral fellows in the CAUSALab will offer their guidance and expertise with respect to:
- Study design (e.g., formulating a well-defined causal question, specifying the target trial)
- Data analysis (e.g., emulating the target trial, using g-methods)
- Interpretation of results
One presenter will be invited for each session. We recommend that presenters prepare a 15-minute presentation (including an outline of the target trial that corresponds to the proposed research) with the remaining time allocated for questions and discussions. If selected, presenters are expected to be prepared with data, prior analyses, or any other relevant materials (ie. supplemental slides) before attending.
When and where
The CAUSALab Clinics are scheduled from 1 PM to 2 PM on selected Wednesdays at the Harvard T.H. Chan School of Public Health. In the 2022/23 academic year, the CAUSALab Clinics will take place the following days:
- September 28, 2022
- October 12, 2022
- November 30, 2022
- January 25, 2023
- February 22, 2023
- March 22, 2023 – CANCELLED
- April 19, 2023 – RESCHEDULED for May 3, 2023
How to Apply
Complete this form to submit an online application. Applications will be reviewed on a rolling basis. If selected, you will be contacted to coordinate a presentation date.
Questions? Please contact Alejandro Szmulewicz (email@example.com) and Joy Shi (firstname.lastname@example.org).
Previous presentation topics:
- Comparative effectiveness and safety of different cardiovascular interventions
- Colchicine for limb preservation in peripheral artery disease
- Impact of Medicare’s transitional care management program on clinical outcomes of patients after discharge home from the hospital