The SuperMix program is used for mixed-effects models, also called multilevel, hierarchical, or random-effects 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 mixed-effects 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.

• Two-level models for continuous outcomes
• Two-level models for count outcomes
• Two-level models for binary outcomes
• Two-level models for ordinal outcomes
• Two-level models for nominal outcomes

• A mixed model with offset variable
• A two level survival analysis model

• Data-based graphics
  • Exploratory graphics
  • Univariate plot
    • Bar chart
    • Pie chart
    • 3D pie chart
    • Histogram
  • Bivariate plot
    • Scatter plot
    • Line only plot
    • Scatter and line plot
    • Box and Whisker plot
    • Bivariate bar chart
  • Multivariate plot
• Model based graphics