MATH-651 Regression Methods and Generalized Linear Models
Fall for 2008-2009
multiple regression, inference and prediction, model building and diagnostics, analysis of variance (ANOVA), analysis of covariance (ANCOVA), generalized linear models, and other extensions as time permits (e.g. mixed models, nonlinear regression, generalized estimating equations). This course covers both theoretical and applied aspects of regression analysis. Examples and illustrations will use SAS and/or R.
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