Sökning: "nonlinear mixed-effects models"
Visar resultat 16 - 20 av 27 avhandlingar innehållade orden nonlinear mixed-effects models.
16. Improved Methods for Pharmacometric Model-Based Decision-Making in Clinical Drug Development
Sammanfattning : 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. LÄS MER
17. Data-driven modeling of combination therapy in oncology
Sammanfattning : 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. LÄS MER
18. Applied Adaptive Optimal Design and Novel Optimization Algorithms for Practical Use
Sammanfattning : 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. LÄS MER
19. Model-Based Optimization of Clinical Trial Designs
Sammanfattning : 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. LÄS MER
20. Novel Pharmacometric Methods for Informed Tuberculosis Drug Development
Sammanfattning : With approximately nine million new cases and the attributable cause of death of an estimated two millions people every year there is an urgent need for new and effective drugs and treatment regimens targeting tuberculosis. The tuberculosis drug development pathway is however not ideal, containing non-predictive model systems and unanswered questions that may increase the risk of failure during late-phase drug development. LÄS MER