Support
SSI, Inc. offers a technical support service via e-mail. This service is only available to registered end users of the SSI software products. Click here to view SSI’s policy and procedures for obtaining technical support.
Documentation
From the Primer:
Two-level models for continuous outcomes (complete example zipped)
Three-level models for continuous outcomes (complete example zipped)
Two-level models for count outcomes (complete example zipped)
Two-level models for binary outcomes (complete example zipped)
Two-level models for ordinal outcomes (complete example zipped)
Two-level models for nominal outcomes (complete example zipped)
Two-level survival analysis models (complete example zipped)
Data-based graphics: exploratory graphics (complete example zipped)
Data-based graphs: univariate graphs (complete example zipped)
Data-based graphs: bivariate graphs (complete example zipped)
Data-based graphs: multivariate graphs (complete example zipped)
From the Manual:
Two-level models for continuous data (NESARC data) (complete example zipped)
Two-level models for continuous data (Reisby data) (complete example zipped)
Two-level model with AR errors (Reisby data) (complete example zipped)
Two-level models for continuous data (TVSFP data) (complete example zipped)
Three-level models for continuous data (TVSFP data) (complete example zipped)
Three-level models for continuous data (Schoenwald data) (complete example zipped)
Two-level logistic model (TVSFP data) (complete example zipped)
Three-level logistic model (TVSFP data) (complete example zipped)
Two-level probit model (NESARC data) (complete example zipped)
Two-level Poisson model (NESARC data) (complete example zipped)
Two-level negative binomial model (NESARC data) (complete example zipped)
Weighted two-level models (NESARC data) (complete example zipped)
Two-level Poisson model (ASPART data) (complete example zipped)
Two-level Poisson model with offset variable (ASPART data) (complete example zipped)
Two-level ordinal model with logistic link function (TVSFP data) (complete example zipped)
Two-level models for ordinal outcomes (NIMH data) (complete example zipped)
Two-level random intercept and trend model (NIMH data) (complete example zipped)
Two-level models for nominal outcomes (NHIS data) (complete example zipped)
Two-level proportional hazard model: binary case (TVSFP data) (complete example zipped)
Survival analysis model for an ordinal outcome (TVSFP data) (complete example zipped)
FAQs
How can I get started with SuperMix?
Do you need guidance with setting up your SuperMix analysis? We suggest checking the online help file, which is accessed via the Contents option of the SuperMix Help menu.
Should I sort the data before running a model?
Before running a model, the data must be sorted by level 2 ID (level-2 model) and in the case of a level-3 model, IDs should be sorted in the sequence (level-3; level-2).
Why can’t I get SuperMix output?
Step 1
Check version number: SuperMix 2.1. Contact SuperMix tech support if your version number and/or date are different.
Check operating system.
Step 2
.inp and .out files are stored in a folder with an extremely long name or non-English characters folder is write-protected
running from a USB stick with too little space available for temp files.
Other notices:
When running SuperMix using Optimization Method: maximum posterior (Advanced tab)
The following message is written to the output file:
**** Convergence was not attained. Results below may not be reliable. **** Increasing the maximum number of iterations may solve the problem.
Ignore this message if the actual number of iterations is smaller than the value specified in the Number of Iterations: text box (Configuration tab). This problem will be corrected in the first free upgrade of SuperMix.
Contact tech support (smix@ssicentral.com) to report any bugs.
There is a bug for mixrega.exe: contact tech support for the update.
Data-based graphs with missing values.
Currently, -9 is assumed to be a missing value code when doing data-based graphs. If -9 is a valid value for some variables, then one can change the default to the actual missing value code or to -999999 using the Settings menu when the graph is displayed.Residual plots.
Residual plots are not available for all model types. Currently, it is only available for the following cases:
(1) Normal continuous outcomes.
(2) Distributions that use the log-link function.
Additional material
Continuous data
Count data
Binary data
Ordinal and Nominal data
Survival analysis example