Robust Joint Non-linear Mixed-Effects Models and Diagnostics for Censored HIV Viral Loads with CD4 Measurement Error-Reference-Cited by-同舟云学术

Robust Joint Non-linear Mixed-Effects Models and Diagnostics for Censored HIV Viral Loads with CD4 Measurement Error

Published:2015-01-06 Issue:1 Volume:20 Page:121-139
ISSN:1085-7117
Container-title:Journal of Agricultural, Biological, and Environmental Statistics
language:en
Short-container-title:JABES

Author:

Bandyopadhyay Dipankar,Castro Luis M.,Lachos Victor H.,Pinheiro Hildete P.

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Statistics, Probability and Uncertainty,General Agricultural and Biological Sciences,Agricultural and Biological Sciences (miscellaneous),General Environmental Science,Statistics and Probability

Link

http://link.springer.com/content/pdf/10.1007/s13253-014-0195-9.pdf

Reference38 articles.

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3. Azzalini, A. and Dalla Valle, A. (1996), “The multivariate skew-normal distribution,” Biometrika, 83, 715–726.

4. Azzalini, A., Browne, R. P., Genton, M. G., and McNicholas, P. D. (2014), “Comparing two formulations of skew distributions with special reference to model-based clustering,” arXiv:1402.5431v2 [math.ST] URL http://arxiv.org/abs/1402.5431v2 .

5. Bandyopadhyay, D., Lachos, V., Castro, L. M., and Dey, D. (2012), “Skew-normal/independent linear mixed models for censored responses with applications to HIV viral loads,” Biometrical Journal, 54, 405–425.

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