Štruktúra kurzu
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Regression
- building and evaluating polynomial regression models using PROC GLMSELECT and PROC REG
- dealing with violations of model assumptions and multicollinearity
Analysis of Variance
- performing n-way ANOVA
- interpreting significant interactions
- writing LSMESTIMATE statements
- performing evaluation of model assumptions and remedial measures
Regression Using Indicator Variables and Analysis of Covariance
- building and interpreting analysis of covariance models using the GLM procedure
- least squares means from an ANCOVA model
- diagnostics and remedial measures for ANCOVA models
Generalized Linear Models
- using the GENMOD procedure to fit Poisson and negative binomial regression models
- using the GLIMMIX procedure to fit gamma regression models
Linear Mixed Models
- performing linear mixed model analysis with PROC GLIMMIX