A note on nonparametric estimation for clustered data

被引:1
|
作者
Huggins, R [1 ]
机构
[1] La Trobe Univ, Sch Stat, Dept Stat Sci, Bundoora, Vic 3086, Australia
关键词
clustered data; generalised estimating equation; nonparametric estimation;
D O I
10.1016/j.spl.2004.06.010
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
The generalized estimating equation approach to nonparametric estimation using clustered data has a counter intuitive feature: the most asymptotically efficient estimator ignores the dependence within the clusters J. Amer. Statist. Assoc. 95 (2000) 520. Using an example with highly dependent data we present an alternate procedure that does account for dependence. The superior results of this procedure suggest a flaw in previous extensions of the generalized estimating equations to nonparametric inference. We show that, that efficient nonparametric estimation requires a different class of estimating equations wherein dependence is incorporated via an offset term. (C) 2004 Elsevier B.V. All rights reserved.
引用
收藏
页码:129 / 133
页数:5
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