Optimum designs for non-linear mixed effects models in the presence of covariates-Reference-Cited by-同舟云学术

Optimum designs for non-linear mixed effects models in the presence of covariates

Published:2017-01-28 Issue:3 Volume:73 Page:927-937
ISSN:0006-341X
Container-title:Biometrics
language:en
Short-container-title:Biom

Author:

Bogacka Barbara¹,Latif Mahbub A. H. M.²³,Gilmour Steven G.⁴,Youdim Kuresh⁵

Affiliation:

1. School of Mathematical Sciences, Queen Mary; University of London; London E1 4NS UK

2. Institute of Statistical Research and Training; University of Dhaka; Dhaka-1000 Bangladesh

3. Center for Clinical Epidemiology; St Luke's International University; 3-6-2 Tsukiji Chuo-ku Tokyo 104-0045 Japan

4. Department of Mathematics; King's College London; Strand London WC2R 2LS UK

5. Roche Pharmaceutical Research and Early Development, Pharmaceutical Sciences, Roche Innovation Center Basel; F. Hoffmann-La Roche Ltd; Grenzacherstrasse 124 4070 Basel Switzerland

Publisher

Wiley

Subject

Applied Mathematics,General Agricultural and Biological Sciences,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine,Statistics and Probability

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1111/biom.12660/fullpdf

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5. IVGTT glucose minimal model covariate selection by nonlinear mixed-effects approach;Denti;American Journal of Physiological Endocrinol Metabolism,2010

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