Search for dissertations about: "Siv Jönsson"
Found 5 swedish dissertations containing the words Siv Jönsson.
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1. Estimation of Dosing Strategies for Individualisation
Abstract : To increase the proportion of patients with successful drug treatment, dose individualisation on the basis of one or several patient characteristics, a priori individualisation, and/or on the basis of feedback observations from the patient following an initial dose, a posteriori individualisation, is an option. Efficient tools in optimising individualised dosing strategies are population models describing pharmacokinetics (PK) and the relation between pharmacokinetics and pharmacodynamics (PK/PD). READ MORE
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2. Pharmacometric Approaches to Improve Dose Individualization Methods in Hemophilia A
Abstract : Hemophilia A is a bleeding disorder caused by the lack of functional coagulation factor VIII (FVIII). The overall aim of this thesis was to improve dose individualization of FVIII replacement therapy in hemophilia A using pharmacometric approaches. READ MORE
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3. Pharmacometric models in the development of biological medicinal products
Abstract : Biological medicinal products (BMPs) are a successful class of drugs that are indicated in numerous diseases. Common among them is that complexities associated with their manufacture and analysis lead to a high cost compared to small-molecular weight drugs. READ MORE
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4. Methodological Studies on Models and Methods for Mixed-Effects Categorical Data Analysis
Abstract : Effects of drugs are in clinical trials often measured on categorical scales. These measurements are increasingly being analyzed using mixed-effects logistic regression. However, the experience with such analyzes is limited and only a few models are used. READ MORE
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5. Improved pharmacometric model building techniques
Abstract : Pharmacometric modelling is an increasingly used method for analysing the outcome from clinical trials in drug development. The model building process is complex and involves testing, evaluating and diagnosing a range of plausible models aiming to make an adequate inference from the observed data and predictions for future studies and therapy. READ MORE