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 of novel estimators using high-dimensional data structures, providing students with a toolbox for analyzing complex longitudinal, observational & randomized control trial data. Students learn & apply the core principles of the Targeted Learning methodology, which generalizes machine learning to any estimand of interest; obtains an optimal estimator of the given estimand, grounded in theory; integrates state-of-the-art ensemble machine learning techniques; & provides formal statistical inference in confidence intervals & testing.

Link to Course Info

https://classes.berkeley.edu/content/2021-Fall-PBHLTH-243A-001-LEC-001

How to Enroll

Note: International Students must submit an International Concurrent Enrollment application and follow the process outlined in section above.

  1. Apply for term eligibility by creating a UC Berkeley Extension Account.
  2. Enroll in UNEX-1221 and pay the CalCentral Term Access fee.
  3. After 3–4 days, you will receive instructions on how to create your CalNet ID.
  4. You will use your CalNet ID to apply for classes via CalCentral.

Once you apply for a class or classes, your application(s) will be forwarded to the instructor and the academic department for class approval. We recommend that you periodically log into CalCentral to review the status of your class application(s). You are not officially enrolled in a course until your class application has been approved at all levels it appears in CalCentral under the term schedule.

More info on how to enroll: https://extension.berkeley.edu/static/studentservices/concurrent/#collapseFour