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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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| Format: | Thesis |
| Language: | English |
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Department of Statistical Sciences
2014
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| _version_ | 1867613260939788288 |
|---|---|
| access_status_str | Open Access |
| author | Mauff, Katya |
| author2 | Little, Francesca |
| author_browse | Little, Francesca Mauff, Katya |
| author_facet | Little, Francesca Mauff, Katya |
| author_sort | Mauff, Katya |
| collection | Thesis |
| 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). |
| format | Thesis |
| id | oai:open.uct.ac.za:11427/10719 |
| institution | University of Cape Town (South Africa) |
| language | eng |
| last_indexed | 2026-06-10T12:33:19.547Z |
| license_str | Not specified — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository |
| publishDate | 2014 |
| publishDateRange | 2014 |
| publishDateSort | 2014 |
| publisher | Department of Statistical Sciences |
| publisherStr | Department of Statistical Sciences |
| record_format | dspace |
| source_str | UCTD — University of Cape Town Open Access Repository |
| spelling | oai:open.uct.ac.za:11427/10719 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 Department of Statistical Sciences Faculty of Science University of Cape Town |
| spellingShingle | Statistical Science Mauff, Katya Multivariate muti-level non-linear mixed-effect models and their application to the modeling of drug-concentration time curves |
| thesis_degree_str | Master's |
| title | 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_short | 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 |
| topic | Statistical Science |
| url | http://hdl.handle.net/11427/10719 |
| work_keys_str_mv | AT mauffkatya multivariatemutilevelnonlinearmixedeffectmodelsandtheirapplicationtothemodelingofdrugconcentrationtimecurves |