HelixTree is the only tree-based tool that can perform true multivariate analysis, providing the ability to look at multiple outcomes simultaneously. This allows you to find patterns you would not find in separate analyses of individual dependent variables.

While it may be possible at times to model each target separately, or perhaps create a single covariate as a proxy for several and model for it, multivariate analysis makes this unnecessary, and uncovers unanticipated as well as expected departures from the normal patterns of relationship – meaning that better results are possible using all outcomes simultaneously.

The example below demonstrates how multivariate approaches can find significance that other tools will miss. Notice that the difference between the two populations is not significant in x or y alone. However, in both x and y, the difference is highly significant