STATS 763 - Advanced Regression Methodology
Faculty
Science
Department
Statistics
Points:
15
Available Semesters:
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Course Components
Labs
Tutorials
Lectures
Exam
TBLs
Workshops
Description: Generalised linear models, generalised additive models, survival analysis. Smoothing and semiparametric regression. Marginal and conditional models for correlated data. Model selection for prediction and for control of confounding. Model criticism and testing. Computational methods for model fitting, including Bayesian approaches.
Prerequisites / Restrictions
Prerequisite: STATS 210 or 225, and 15 points from STATS 330, 762, and 15 points at Stage II in Mathematics
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