2021 Fall
PBHLTH C242C 001 - LEC 001
Longitudinal Data Analysis
Alan E Hubbard
Class #:30274
Units:4
Instruction Mode:
In-Person Instruction
Offered through
School of Public Health
Current Enrollment
Total Open Seats:
22
Enrolled: 18
Waitlisted: 0
Capacity: 40
Waitlist Max: 40
No Reserved Seats
Hours & Workload
7 hours of outside work hours, 3 hours of instructor presentation of course materials, and 2 hours of the exchange of opinions or questions on course material.
Other classes by Alan E 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.
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