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

2011 ◽  
Vol 2011 ◽  
pp. 1-16
Author(s):  
Qingming Zou ◽  
Zhongyi Zhu
Keyword(s):  
Repeated Measures ◽  
Asymptotic Properties ◽  
Mixed Effects ◽  
Common Interest ◽  
Mixed Effects Models ◽  
Nonlinear Mixed Effects ◽  
Finite Sample ◽  
Nonlinear Mixed Effects Models ◽  
Nonlinear Mixed Effects Model ◽  
Repeated Measures Data

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.

scholarly journals Performance of Nonlinear Mixed Effects Models in the Presence of Informative Dropout

2014 ◽  
Vol 17 (1) ◽  
pp. 245-255 ◽  
Author(s):  
Marcus A. Björnsson ◽  
Lena E. Friberg ◽  
Ulrika S. H. Simonsson
Keyword(s):  
Mixed Effects ◽  
Mixed Effects Models ◽  
Nonlinear Mixed Effects ◽  
Nonlinear Mixed Effects Models ◽  
Informative Dropout
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