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Visar resultat 1 - 5 av 46 avhandlingar som matchar ovanstående sökkriterier.
1. Pharmacometrics to characterize innate immune response and antibacterial treatments
Sammanfattning : The immune system protects the host against pathogens by distinguishing self from non-self. However, it is most-often disregarded in pharmacokinetic-pharmacodynamic (PKPD) characterization of (new and old) antibiotics. LÄS MER
2. Pharmacometrics for Combination Therapy in Oncology Within and Across Species Variability in Time Series and Time-to-event Data
Sammanfattning : 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. LÄS MER
3. Methods for handling model misspecification in pharmacometric model-based approaches for the analysis of longitudinal clinical trial data
Sammanfattning : Pharmacometrics model-based analyses proved to be increasingly useful in drug discovery and development. This usefulness was made evident by the formalisation of the model-integrated drug discovery and development framework (MID3). LÄS MER
4. Development, Application and Evaluation of Statistical Tools in Pharmacometric Data Analysis
Sammanfattning : Pharmacometrics uses models based on pharmacology, physiology and disease for quantitative analysis of interactions between drugs and patients. The availability of software implementing modern statistical methods is important for efficient model building and evaluation throughout pharmacometric data analyses. LÄS MER
5. Benefits of Pharmacometric Model-Based Design and Analysis of Clinical Trials
Sammanfattning : Quantitative pharmacokinetic-pharmacodynamic and disease progression models are the core of the science of pharmacometrics which has been identified as one of the strategies that can make drug development more effective. To adequately develop and utilize these models one needs to carefully consider the nature of the data, choice of appropriate estimation methods, model evaluation strategies, and, most importantly, the intended use of the model. LÄS MER