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

Authors

  • Laura Pagani Department of Economics and Statistics, University of Udine
  • Maria Chiara Zanarotti

DOI:

https://doi.org/10.1285/i20705948v5n3p387

Keywords:

Longitudinal data, Hierarchical Generalized Linear Model, Multilevel Rasch Model, Chemotherapy Side Effect

Abstract

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.

References

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Published

16-11-2012

Issue

Vol. 5 No. 3 (2012): Electronic Journal of Applied Statistical Analysis (Special Issue inspired by the Conference "SUNOVA 2012").

Section

Special Issue - SUNOVA2012

License

Authors who publish with EJASA agree to the  Creative Commons Attribuzione - Non commerciale - Non opere derivate 3.0 Italia License.