Search for dissertations about: "mixed model"
Showing result 1 - 5 of 885 swedish dissertations containing the words mixed model.
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1. Covariate Model Building in Nonlinear Mixed Effects Models
Abstract : Population pharmacokinetic-pharmacodynamic (PK-PD) models can be fitted using nonlinear mixed effects modelling (NONMEM). This is an efficient way of learning about drugs and diseases from data collected in clinical trials. READ MORE
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2. Lean, Green, and Agile Design and Control of Pallet Systems
Abstract : Pallet based automated material handling systems are main devices to transport and locate various part types in flexible production plants.To fulfill production objectives and win in the competitive environment of mass customization, proper deign and control of handling and locating pallet systems have been highly concerned. READ MORE
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3. Opportunity creation as a mixed embedding process : A study of immigrant entrepreneurs in Sweden
Abstract : Entrepreneurial opportunities are frequently noted and addressed in the literature of immigrant entrepreneurship; however, little is known about how these entrepreneurial opportunities come into existence and how immigrant entrepreneurs create such opportunities. The purpose of this thesis is to examine why and how immigrant entrepreneurs create entrepreneurial opportunities through embedding processes in the home country and the host country. READ MORE
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4. Methods for handling model misspecification in pharmacometric model-based approaches for the analysis of longitudinal clinical trial data
Abstract : 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). READ MORE
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5. Development and Evaluation of Nonparametric Mixed Effects Models
Abstract : 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. READ MORE