MVPreg 1.0

The MVPreg program computes a general multivariate probit regression model for the analysis of multivariate binary data. Correlations between multiple binary measures are modeled as a factor analytic process. In the context of mental health service utilization data MVPREG can estimate the effects of design variables (e.g., changes in the health care delivery system) and case mix variables (e.g., age, sex, and race) on multivariate service utilization patterns.

Future versions of the program will consider analysis of longitudinal multivariate binary data.
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  Last updated August 15, 2016. Copyright © 2003-2016 Center for Health Statistics. All Rights Reserved.

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