Non-linear mixed effects models for the evaluation of dissolution profiles
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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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 Type:||Article (Refereed Research - C1)|
|Keywords:||dissolution; longitudinal data; non-linear mixed effects models; pharmaceutical statistics|
|FoR Codes:||01 MATHEMATICAL SCIENCES > 0104 Statistics > 010401 Applied Statistics @ 100%|
|SEO Codes:||97 EXPANDING KNOWLEDGE > 970101 Expanding Knowledge in the Mathematical Sciences @ 100%|
|Deposited On:||08 Dec 2010 11:23|
|Last Modified:||12 Feb 2011 20:21|
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