2022 Fall
STAT 256 001 - LEC 001
Causal Inference
Current Enrollment
Total Open Seats:
1
Enrolled: 39
Waitlisted: 0
Capacity: 40
Waitlist Max: 20
No Reserved Seats
Hours & Workload
3 hours of instructor presentation of course materials per week, 7 hours of outside work hours per week, and 2 hours of instructional experiences requiring special laboratory equipment and facilities per week.
Final Exam
FRI, DECEMBER 16TH
03:00 pm - 06:00 pm
Other classes by Peng Ding
+ 1 Independent Study
Course Catalog Description
This course will focus on approaches to causal inference using the potential outcomes framework. It will also use causal diagrams at an intuitive level. The main topics are classical randomized experiments, observational studies, instrumental variables, principal stratification and mediation analysis. Applications are drawn from a variety of fields including political science, economics, sociology, public health, and medicine. This course is a mix of statistical theory and data analysis. Students will be exposed to statistical questions that are relevant to decision and policy making.
Class Notes
Enrollment priority is given to Statistics MA and Statistics PhD students.
Rules & Requirements
Repeat Rules
Course is not repeatable for credit.
Reserved Seats
Current Enrollment
No Reserved Seats
Textbooks & Materials
See class syllabus or https://calstudentstore.berkeley.edu/textbooks for the most current information.
Guide to Open, Free, & Affordable Course Materials