Sökning: "mixed-effects"
Visar resultat 1 - 5 av 85 avhandlingar innehållade ordet mixed-effects.
1. Contributions to nonlinear mixed-effects modeling
Sammanfattning : The topic of this thesis is nonlinear mixed-effects models. A nonlinear mixed-effects model is a hierarchical regression model used to analyze measurements from several individuals simultaneously, which allows sharing of information between similar individuals. LÄS MER
2. Nonlinear Mixed Effects Modeling of Combination Therapies in Oncology
Sammanfattning : It has been shown that simultaneous administration of two or more anticancer agents can have a beneficial effect on cancer patients. This type of treatment is called combination therapy and is nowadays commonly used in the fight against cancer. LÄS MER
3. Mixed Effects Modeling of Deterministic and Stochastic Dynamical Systems - Methods and Applications in Drug Development
Sammanfattning : Mathematical models based on ordinary differential equations (ODEs) are commonly used for describing the evolution of a system over time. In drug development, pharmacokinetic (PK) and pharmacodynamic (PD) models are used to characterize the exposure and effect of drugs. LÄS MER
4. Nonlinear Mixed Effects Methods for Improved Estimation of Receptor Occupancy in PET Studies
Sammanfattning : Receptor occupancy assessed by Positron Emission Tomography (PET) can provide important translational information to help bridge information from one drug to another or from animal to man. The aim of this thesis was to develop nonlinear mixed effects methods for estimation of the relationship between drug exposure and receptor occupancy for the two mGluR5 antagonists AZD9272 and AZD2066 and for the 5HT1B receptor antagonist AZD3783. LÄS MER
5. Development and Evaluation of Nonparametric Mixed Effects Models
Sammanfattning : A nonparametric population approach is now accessible to a more comprehensive network of modelers given its recent implementation into the popular NONMEM application, previously limited in scope by standard parametric approaches for the analysis of pharmacokinetic and pharmacodynamic data. The aim of this thesis was to assess the relative merits and downsides of nonparametric models in a nonlinear mixed effects framework in comparison with a set of parametric models developed in NONMEM based on real datasets and when applied to simple experimental settings, and to develop new diagnostic tools adapted to nonparametric models. LÄS MER