Search for dissertations about: "nonlinear mixed effects models"
Showing result 16 - 20 of 31 swedish dissertations containing the words nonlinear mixed effects models.
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16. Pharmacometrics for Combination Therapy in Oncology Within and Across Species Variability in Time Series and Time-to-event Data
Abstract : Mathematical modeling is an integral part of the drug development process. Models are developed to describe tumor dynamics or drug concentration to answer questions such as: What concentration is required to reach the desirable treatment outcome? What drug dose and frequency should a drug prescription specify to achieve this concentration? Models are also used for simulation, reducing the need to perform additional animal trials. READ MORE
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17. Improved Methods for Pharmacometric Model-Based Decision-Making in Clinical Drug Development
Abstract : Pharmacometric model-based analysis using nonlinear mixed-effects models (NLMEM) has to date mainly been applied to learning activities in drug development. However, such analyses can also serve as the primary analysis in confirmatory studies, which is expected to bring higher power than traditional analysis methods, among other advantages. READ MORE
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18. Applied Adaptive Optimal Design and Novel Optimization Algorithms for Practical Use
Abstract : The costs of developing new pharmaceuticals have increased dramatically during the past decades. Contributing to these increased expenses are the increasingly extensive and more complex clinical trials required to generate sufficient evidence regarding the safety and efficacy of the drugs. READ MORE
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19. Data-driven modeling of combination therapy in oncology
Abstract : This thesis contains two manuscripts: Tumor Static Concentration Curves in Combination Therapy and Extending the Tumor Static Concentration Curve to Exposure - A Combination Therapy Example with Radiation Therapy. There is also an introductory chapter presenting some basic facts necessary to understand the appended manuscripts. READ MORE
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20. Model-Based Optimization of Clinical Trial Designs
Abstract : General attrition rates in drug development pipeline have been recognized as a necessity to shift gears towards new methodologies that allow earlier and correct decisions, and the optimal use of all information accrued throughout the process. The quantitative science of pharmacometrics using pharmacokinetic-pharmacodynamic models was identified as one of the strategies core to this renaissance. READ MORE