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.

DOI Code: 10.1285/i20705948v5n3p387

Keywords: Longitudinal data;Hierarchical Generalized Linear Model; Multilevel Rasch Model; Chemotherapy Side Effect


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