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

页码：621 / 630

页数：10