Functional response models for intraclass correlation coefficients
Intraclass correlation coefficients (ICC) are employed in a wide range of behavioral, biomedical, psychosocial, and health care related research for assessing reliability of continuous outcomes. The linear mixed-effects model (LMM) is the most popular approach for inference about the ICC. However, since LMM is a normal distribution-based model and non-normal data are the norm rather than the exception in most studies, its applications to real study data always beg the question of inference validity. In this paper, we propose a distribution-free alternative to provide robust inference based on the functional response models. We illustrate the performance of the new approach using both real and simulated data.
Year of publication: |
2014
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Authors: | Lu, N. ; Chen, T. ; Wu, P. ; Gunzler, D. ; Zhang, H. ; He, H. ; Tu, X.M. |
Published in: |
Journal of Applied Statistics. - Taylor & Francis Journals, ISSN 0266-4763. - Vol. 41.2014, 11, p. 2539-2556
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Publisher: |
Taylor & Francis Journals |
Saved in:
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