STAT 372
Longitudinal Data Analysis Spring 2023
Division III Quantative/Formal Reasoning

Class Details

This course explores modern statistical methods for drawing scientific inferences from longitudinal data, i.e., data collected repeatedly on experimental units over time. The independence assumption made for most classical statistical methods does not hold with this data structure because we have multiple measurements on each individual. Topics will include linear and generalized linear models for correlated data, including marginal and random effect models, as well as computational issues and methods for fitting these models. As time permits, we will also investigate joint modeling of longitudinal and time-to-event data. We will consider many applications in the social and biological sciences.
The Class: Format: lecture
Limit: 15
Expected: 15
Class#: 3478
Grading: yes pass/fail option, yes fifth course option
Requirements/Evaluation: performance on exams, weekly homework, and a project
Prerequisites: STAT 201 and STAT 346
Enrollment Preferences: junior and senior Statistics majors
Distributions: Division III Quantative/Formal Reasoning
QFR Notes: The course will cover a variety of statistical analysis methods for longitudinal data.
Attributes: PHLH Statistics Courses

Class Grid

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