Longitudinal Rasch model for self assessment of side effects in chemotherapy cycles

In this paper longitudinal responses data are considered and it is showed how to benefit of the use of multilevel setting to model data structure. In fact, both longitudinal and item responses data can be ascribed to hierarchical model, so that the whole data complexity is effectively modeled in a 3-levels multilevel strucure. An application to chemotherapy side effects is showed