Experimentation and Causal Inference

Course ID DSCI 554

Campus UBC Vancouver

Semester Winter

Course Block 6

Course Description Introduces statistical methods for design of experiments and making causal inferences from both experimental and observational data. Topics include multiple comparisons, confounding, randomization, blocking, and power analysis, with a focus on practical applications such as A/B testing. Students will also explore strategies for analyzing observational data, including stratification, regression modeling, sampling schemes, and matched case-control designs.

Instructor(s) with link Ilya Musabirov (Section 1 and 2)