BIOST 2086 - APPLIED MIXED MODELS ANALYSIS

Minimum Credits: 3
Maximum Credits: 3
Mixed model analysis provides a new approach to modeling which allows one to relax the usual independence assumptions and take into account complicated data structures. This course will consider all types of mixed models into a general framework and consider the practical implications of their use. Topics will include; normal mixed models, generalized mixed models, and mixed models for categorical data, repeated measures data analysis and cross-over trials with mixed models. Software for fitting mixed models will be discussed.
Academic Career: Graduate
Course Component: Lecture
Grade Component: Grad Letter Grade
Course Requirements: PREQ: BIOST 2083

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