The SuperMix program is used for mixedeffects models, also called multilevel, hierarchical, or randomeffects models. These models can be used for the analysis of longitudinal data, where each individual may be measured at a different number of occasions. They can also be used for clustered data, for example, patients nested within clinics.
SuperMix fits mixedeffects models with continuous, count, ordinal, nominal, and survival outcome variables to nested data. SuperMix allows for up to three levels of nesting. Illustrative
examples of these analyses are available in our manual.
 Databased graphics
 Exploratory graphics
 Univariate plot
 Bivariate plot
 Scatter plot
 Line only plot
 Scatter and line plot
 Box and Whisker plot
 Bivariate bar chart
 Multivariate plot
 Model based graphics
 Equations
 Residuals
 Confidence intervals
