Adams, E., Coomans, D., Smeyers-Verbeke, J., and Massart, D.L. (2002) Non-linear mixed effects models for the evaluation of dissolution profiles. International Journal of Pharmaceutics, 240 (1-2). pp. 37-53.

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Abstract

The use of non-linear mixed effects models to describe dissolution data has been evaluated, A theoretical part is included to introduce this approach to scientists who are not Familiar with this type of statistics. The standard settings of the statistical software package (S-plus) are used as much as possible. Several mathematical functions like the Weibull, logistic, first-order and Gompertz are employed as basis for the non-linear mixed effects models. Examples are given using dissolution data of immediate and extended release tablets, The results are compared with those obtained using linear mixed effects models.

Item ID:	13548
Item Type:	Article (Research - C1)
ISSN:	1873-3476
Keywords:	dissolution; longitudinal data; non-linear mixed effects models; pharmaceutical statistics
Related URLs:	http://www.elsevier.com/wps/find/journal...
Date Deposited:	08 Dec 2010 01:23
FoR Codes:	01 MATHEMATICAL SCIENCES > 0104 Statistics > 010401 Applied Statistics @ 100%
SEO Codes:	97 EXPANDING KNOWLEDGE > 970101 Expanding Knowledge in the Mathematical Sciences @ 100%
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