Statistics 2: ANOVA and Regression

Cílová skupina

Struktura kurzu

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