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Visar resultat 1 - 5 av 26 avhandlingar som matchar ovanstående sökkriterier.
1. Methodological studies on non-linear mixed effects model building
Sammanfattning : Population analysis of pharmacokinetic/pharmacodynamic (PK/PD) data by the use of non-linear mixed effects modeling offers a number of benefits over traditional methods of analyzing this type of data. These benefits include the possibility to appropriately characterize the typical PK/PD behaviour in the population as well as the associated variability when only a few observations are available for each individual. LÄS MER
2. Benefits of Non-Linear Mixed Effect Modeling and Optimal Design : Pre-Clinical and Clinical Study Applications
Sammanfattning : Despite the growing promise of pharmaceutical research, inferior experimentation or interpretation of data can inhibit breakthrough molecules from finding their way out of research institutions and reaching patients. This thesis provides evidence that better characterization of pre-clinical and clinical data can be accomplished using non-linear mixed effect modeling (NLMEM) and more effective experiments can be conducted using optimal design (OD). LÄS MER
3. Mixed Effects Modelling and Optimal Design of TNFα Response in LPS Challenge Studies - Methods and Applications in Drug Discovery
Sammanfattning : ''Endotoxin and mycoplasma are Nature’s darkest secrets. If they are ever solved, Hell itself will open.'' - Lewis Thomas* Endotoxin, or lipopolysaccharides (LPS), are heterogeneous components from the cell wall of Gram-Negative bacteria and a common challenger in the field of drug discovery. LÄS MER
4. Pharmacometric Investigations of Prediction Precision and Advances of Models for Composite Scale Data
Sammanfattning : Clinical trials are needed to evaluate new treatments. In late-stage clinical trials, failures are mostly due to lack of efficacy. Fit-for-purpose analysis methods will likely increase the success rates and advance drug development by providing higher precision to support decisions such as go/no-go, dose selection, or sample size. LÄS MER
5. Semi-mechanistic models of glucose homeostasis and disease progression in type 2 diabetes
Sammanfattning : Type 2 diabetes mellitus (T2DM) is a metabolic disorder characterized by consistently high blood glucose, resulting from a combination of insulin resistance and reduced capacity of β-cells to secret insulin. While the exact causes of T2DM is yet unknown, obesity is known to be a major risk factor as well as co-morbidity for T2DM. LÄS MER