Courses

The following UC Berkeley courses are taught by members of CTML on topics revelant to biostatistics, causal inference, and targeted learning. Instructions for how to enroll can be found on each course's page. 

Courses at UC Berkeley

PH252E: Advanced Topics in Causal Inference

Course Instructor

Alan Hubbard

Course Catalog Description

The course will be conducted as a seminar with readings and discussions on a range of more advanced topics. We will cover case-control designs; longitudinal causal models, identifiability and...Read more about PH252E: Advanced Topics in Causal Inference

PH243A: Targeted Learning

Course Instructor

Mark van der Laan

Course Catalog Description

PH 243A teaches students to construct efficient estimators & obtain robust inference for parameters that utilize data-adaptive estimation strategies (i.e., machine learning). Students perform hands-on implementation...Read more about PH243A: Targeted Learning

PHC242C: Longitudinal Data Analysis

Course Instructor

Alan Hubbard

Course Catalog Description

The course covers the statistical issues surrounding estimation of effects using data on subjects followed through time. The course emphasizes a regression model approach and discusses disease incidence modeling and both...Read more about PHC242C: Longitudinal Data Analysis

PH 142: Introduction to Probability and Statistics in Biology and Public Health

Course Instructor

Dr. Alan Hubbard

Course Catalog Description

PH 142 is an introduction to statistics and data science, primarily for MPH and undergraduate public health majors, and others interested in public health majors. The course material focuses on the biomedical applications...Read more about PH 142: Introduction to Probability and Statistics in Biology and Public Health