TY - JOUR
T1 - LONGITUDINAL RASCH MODEL FOR SELF ASSESSMENT OF SIDE EFFECTS IN CHEMOTHERAPY CYCLES
AU - Pagani, Laura
AU - Zanarotti, Maria Chiara
PY - 2012
Y1 - 2012
N2 - 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.
AB - 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.
KW - Longitudinal data
KW - chemotherapy side effects.
KW - hierarchical generalized linear model
KW - multilevel rasch model
KW - Longitudinal data
KW - chemotherapy side effects.
KW - hierarchical generalized linear model
KW - multilevel rasch model
UR - http://hdl.handle.net/10807/37513
UR - http://siba-ese.unisalento.it/index.php/ejasa/article/view/12252/11130
U2 - 10.1285/i20705948v5n3p387
DO - 10.1285/i20705948v5n3p387
M3 - Article
SN - 2070-5948
VL - 5
SP - 387
EP - 392
JO - Electronic Journal of Applied Statistical Analysis
JF - Electronic Journal of Applied Statistical Analysis
ER -