LONGITUDINAL RASCH MODEL FOR SELF ASSESSMENT OF SIDE EFFECTS IN CHEMOTHERAPY CYCLES

Risultato della ricerca: Contributo in rivistaArticolo in rivistapeer review

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 generalized linear model, so that the whole data complexity is effectively modeled in a 3-level multilevel structure. An application to chemotherapy side effects is showed.
Lingua originaleEnglish
pagine (da-a)387-392
Numero di pagine6
RivistaElectronic Journal of Applied Statistical Analysis
Volume2012, vol 5
DOI
Stato di pubblicazionePubblicato - 2012

Keywords

  • Longitudinal data
  • chemotherapy side effects.
  • hierarchical generalized linear model
  • multilevel rasch model

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