In the present paper, the method of structure analysis for multivariate functions was applied to examine the global sensitivity of three complex models: the HIV/AIDS infection spread, radar search, and the multiple criteria decisions.

The investigation of global sensitivity exposed the most influential parameters or their groups. This knowledge makes it possible to concentrate efforts to obtain more exact values of these main parameters.

As a rule, only a small part of model parameters has a significant influence.