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SurvMeth 686

Statistical Modeling and Machine Learning II
Instructor(s): James Wagner
Term: Winter
3 credits

This builds on the introduction to linear models and data analysis provided in Statistical Methods I. Topics include: Multivariate analysis techniques (Hotelling's T-square, Principal Components, Factor Analysis, Profile Analysis, MANOVA); Categorical Data Analysis (contingency tables, measurement of association, log-linear models for counts, logistics and polytomous regression, GEE); and lifetime Data Analysis (Kaplan-Meier plots, logrank test, Cox regression).

Prerequisites: Completion of Statistical Methods I.
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