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 continuous outcome data/linear models and longitudinal extensions to nonlinear models (e.g., logistic and Poisson). The primary focus is from the analysis side, but mathematical intuition behind the procedures will also be discussed. The statistical/mathematical material includes some survival analysis, linear models, logistic and Poisson regression, and matrix algebra for statistics. The course will conclude with an introduction to recently developed causal regression techniques (e.g., marginal structural models). Time permitting, serially correlated data on ecological units will also be discussed.

Link to Course Info

https://classes.berkeley.edu/content/2021-fall-pbhlth-c242c-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