Multivariate muti-level non-linear mixed-effect models and their application to the modeling of drug-concentration time curves

This thesis discusses the techniques involved in the fitting of nonlinear mixed effect (NLME) models. In particular, it looks at the application of these techniques to the analysis of concentration-time data for the aforementioned antimalarial compounds, and details the necessary extensions to the b...

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Bibliographic Details
Main Author:	Mauff, Katya
Other Authors:	Little, Francesca
Format:	Dissertation
Language:	English
Published:	University of Cape Town 2014
Subjects:	Statistical Science
Online Access:	http://hdl.handle.net/11427/10719

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spelling	ndltd-netd.ac.za-oai-union.ndltd.org-uct-oai-localhost-11427-107192020-10-06T05:11:17Z Multivariate muti-level non-linear mixed-effect models and their application to the modeling of drug-concentration time curves Mauff, Katya Little, Francesca Barnes, Karen Statistical Science This thesis discusses the techniques involved in the fitting of nonlinear mixed effect (NLME) models. In particular, it looks at the application of these techniques to the analysis of concentration-time data for the aforementioned antimalarial compounds, and details the necessary extensions to the basic modeling process that were required in order to accommodate multiple responses and multiple observation phases (pregnant and postpartum). 2014-12-31T19:46:06Z 2014-12-31T19:46:06Z 2011 Master Thesis Masters MSc http://hdl.handle.net/11427/10719 eng application/pdf University of Cape Town Faculty of Science Department of Statistical Sciences
collection	NDLTD
language	English
format	Dissertation
sources	NDLTD
topic	Statistical Science
spellingShingle	Statistical Science Mauff, Katya Multivariate muti-level non-linear mixed-effect models and their application to the modeling of drug-concentration time curves
description	This thesis discusses the techniques involved in the fitting of nonlinear mixed effect (NLME) models. In particular, it looks at the application of these techniques to the analysis of concentration-time data for the aforementioned antimalarial compounds, and details the necessary extensions to the basic modeling process that were required in order to accommodate multiple responses and multiple observation phases (pregnant and postpartum).
author2	Little, Francesca
author_facet	Little, Francesca Mauff, Katya
author	Mauff, Katya
author_sort	Mauff, Katya
title	Multivariate muti-level non-linear mixed-effect models and their application to the modeling of drug-concentration time curves
title_short	Multivariate muti-level non-linear mixed-effect models and their application to the modeling of drug-concentration time curves
title_full	Multivariate muti-level non-linear mixed-effect models and their application to the modeling of drug-concentration time curves
title_fullStr	Multivariate muti-level non-linear mixed-effect models and their application to the modeling of drug-concentration time curves
title_full_unstemmed	Multivariate muti-level non-linear mixed-effect models and their application to the modeling of drug-concentration time curves
title_sort	multivariate muti-level non-linear mixed-effect models and their application to the modeling of drug-concentration time curves
publisher	University of Cape Town
publishDate	2014
url	http://hdl.handle.net/11427/10719
work_keys_str_mv	AT mauffkatya multivariatemutilevelnonlinearmixedeffectmodelsandtheirapplicationtothemodelingofdrugconcentrationtimecurves
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Multivariate muti-level non-linear mixed-effect models and their application to the modeling of drug-concentration time curves

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