On generalized multivariate decision tree by using GEE

The tree method can be extended to multivariate responses, such as repeated measure and longitudinal data, by modifying the split function so as to accommodate multiple responses. Recently, some decision trees for multiple responses have been constructed by some researchers. Although, their methods have limitations for the type of response, that is, only continuous or binary. Also, there is no tree method to analyze multivariate polytomous and ordinal responses. In this paper, we will modify the tree for univariate response procedure and suggest a new tree-based method that can analyze any type of multiple responses by using generalized estimating equations techniques.