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

Laura Pagani; Maria Chiara Zanarotti

doi:10.1285/i20705948v5n3p387

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

Laura Pagani
, Maria Chiara Zanarotti

University of Udine

Research output: Contribution to journal › Article › peer-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.

Original language	English
Pages (from-to)	387-392
Number of pages	6
Journal	Electronic Journal of Applied Statistical Analysis
Volume	5
DOIs	https://doi.org/10.1285/i20705948v5n3p387
Publication status	Published - 2012

Keywords

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

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10.1285/i20705948v5n3p387

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title = "LONGITUDINAL RASCH MODEL FOR SELF ASSESSMENT OF SIDE EFFECTS IN CHEMOTHERAPY CYCLES",

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.",

keywords = "Longitudinal data, chemotherapy side effects., hierarchical generalized linear model, multilevel rasch model, Longitudinal data, chemotherapy side effects., hierarchical generalized linear model, multilevel rasch model",

author = "Laura Pagani and Zanarotti, \{Maria Chiara\}",

year = "2012",

doi = "10.1285/i20705948v5n3p387",

language = "English",

volume = "5",

pages = "387--392",

journal = "Electronic Journal of Applied Statistical Analysis",

issn = "2070-5948",

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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 -

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

Abstract

Keywords

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