STAT 372 Spring 2015 Longitudinal Data Analysis: Modeling Change over Time (Q)

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. We will consider many applications in the social and biological sciences.
Class Format: lecture
Requirements/Evaluation: evaluation will be based primarily on performance on exams, homework, and a project
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Prerequisites: STAT 201 and STAT 346
Enrollment Preference: junior and senior Statistics majors
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Divisional Attributes: Division III, Quantitative and Formal Reasoning
Other Attributes: PHLH Statistics Courses
Enrollment Limit: 30
Expected Enrollment: 20
Class Number: 3460
CLASSES ATTR INSTRUCTORS TIMES CLASS NUMBER ENRL CONSENT
STAT 372 - 01 (S) LEC Longitudinal Data Analysis (Q) Division 3: Science and MathematicsQuantitative and Formal Reasoning Brianna C. Heggeseth
TR 11:20 AM-12:35 PM 3460 Open
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