The Causal Inference Summer Courses

Harvard T.H. Chan School of Public Health

Name The Causal Inference Summer Courses

Sponsors The CAUSALab, Department of Epidemiology, Harvard T.H. Chan School of Public Health

Location Boston Massachusetts or Online a. Week One: June 20-23 (Four Days) i. Key Topics in Causal Inference ii. Advanced Confounding Adjustment (New) b. Week Two: June 26-30 (Five Days) i. Combining Information for Causal Inference (New) ii. Target Trial Emulation

Program year 5th year, first course was offered in 2017 however it has now developed from one to four. Between 2020-2021 no courses held due to Covid.

Types and dates of Courses Participants can take one course per week.

Number of Courses 4

Language English

Number of faculty Faculty varies each course, total: 8 (plus one non-faculty instructor) a. Key Topics in Causal Inference: 5 b. Advanced Confounding Adjustment: 2 (and one non-faculty instructor) c. Combining Information for Causal Inference: 2 d. Target Trial Emulation: 2 (and one non-faculty instructor)

Target audience

Target audience a. Key Topics in Causal Inference: Researchers interested in acquiring a roadmap to navigate the literature on causal inference methods. b. Advanced Confounding Adjustment: Researchers and analysts who want to acquire skills that are required for causal inference with time-varying treatments. c. Combining Information for Causal Inference: Researchers and analysts who want to use combinations of randomized trial and realworld data to learn what works. d. Target Trial Emulation: Researchers and analysts who use real-world databases to learn what works.