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Testing the Correlation and Heterogeneity for Hierarchical Nonlinear Mixed-Effects Models

机译:测试分层非线性混合效应模型的相关性和异质性

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Nonlinear mixed-effects models are very useful in analyzing repeated-measures data and have received a lot of attention in the field. It is of common interest to test for the correlation within clusters and the heterogeneity across different clusters. In this paper, we address these problems by proposing a class of score tests for the null hypothesis that all components of within- and between-subject variance are zeros in a kind of nonlinear mixed-effects model, and the asymptotic properties of the proposed tests are studied. The finite sample performance of this test is examined through simulation studies, and an illustrative example is presented.
机译:非线性混合效应模型在分析重复测量数据中非常有用,并在该领域引起了很多关注。测试集群内的相关性以及不同集群之间的异质性是引起人们普遍关注的问题。在本文中,我们通过针对一类非线性混合效应模型中对象内部和对象之间方差的所有成分均为零的零假设提出一类评分测试,并针对这些测试的渐近性质,针对这些问题提出了得分测试。被研究。通过模拟研究检查了该测试的有限样本性能,并给出了一个说明性示例。

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