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Department of Statistical Sciences

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

Abstract

dc:description.abstract

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).

Degree

thesis:*
Grantor dc:publisher.institution
Department of Statistical Sciences
Year dc:date.issued
2011

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Mauff, Katya
Advisors dc:contributor.advisor
  • Little, Francesca
  • Barnes, Karen

Rights

Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/11427/10719
OAI identifier oai:identifier
oai:open.uct.ac.za:11427/10719

Chain of custody

source
Harvested from
University of Cape Town
Base URL
open.uct.ac.za/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
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citation

Mauff, Katya. Multivariate muti-level non-linear mixed-effect models and their application to the modeling of drug-concentration time curves. Department of Statistical Sciences, 2011. http://hdl.handle.net/11427/10719