A Generalized Marginal Logit Model for Repeated Polytomous Response Data

被引：0
|
作者：
Choi, Jaesung [1 ]
机构：
[1] Keimyung Univ, Dept Stat, 1000 Shindang Dong, Daegu 704701, South Korea
来源：
KOREAN JOURNAL OF APPLIED STATISTICS | 2008年 / 21卷 / 04期
关键词：
Generalized logits; fixed effects; polytomous data; repeated measures; weighted least squares;
D O I：
10.5351/KJAS.2008.21.4.621
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：
This paper discusses how to construct a generalized marginal logit model for analyzing repeated polytomous response data when some factors are applied to larger experimental units as treatments and time to a smaller experimental unit as a repeated measures factor. So, two different experimental sizes are considered. Weighted least squares(WLS) methods are used for estimating fixed effects in the suggested model.
引用
收藏
页码：621 / 630
页数：10
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