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

被引：0
|
作者：
Pagani, Laura [1 ]
Zanarotti, Maria Chiara [2 ]
机构：
[1] Univ Udine, Dept Stat Sci, Udine, Italy
[2] Catholic Univ Milan, Dept Stat Sci, Milan, Italy
来源：
ELECTRONIC JOURNAL OF APPLIED STATISTICAL ANALYSIS | 2012年 / 5卷 / 03期
关键词：
Longitudinal data; hierarchical generalized linear model; multilevel rasch model; chemotherapy side effects;
D O I：
10.1285/i20705948v5n3p387
中图分类号：
O21 [概率论与数理统计]; C8 [统计学];
学科分类号：
020208 ; 070103 ; 0714 ;
摘要：
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.
引用
收藏
页码：387 / 392
页数：6
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