What it can do for your business
Move beyond basic analysis
Improve analysis for multiple outcomes or outcomes over time, analyze data with hierarchical structure or estimate length of time until an event.
Build flexible models
The GLM procedure enables you to describe the relationship between a dependent variable and a set of independent variables. Models include linear regression, ANOVA, ANCOVA, MANOVA and MANCOVA.
Work better with nested-structure data
The linear mixed models procedure expands upon the models used in the GLM procedure so that you can analyze data that exhibit correlation and non-constant variability.
Apply more sophisticated models
When your data do not conform to the assumptions required by simpler techniques, apply loglinear and hierarchical loglinear analysis for modeling multiway tables of count data.
Analyze event history, duration data
You can examine lifetime or duration data to understand terminal events, such as part failure, death or survival.
- General linear models (GLM)
- Generalized linear models (GENLIN)
- Linear mixed models/hierarchical linear models (HLM)
- Generalized estimating equations (GEE) procedures
- Generalized linear mixed models (GLMM)
- Survival analysis procedures