Sökning: "D-optimal design"

Visar resultat 1 - 5 av 9 avhandlingar innehållade orden D-optimal design.

1. 1. Experimental Designs at the Crossroads of Drug Discovery

   Författare :Ing-Marie Olsson; Svante Wold; Johan Gottfries; Michael Sjöström; Bo Nordén; Umeå universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Chemometrics; Design of experiments; Experimental design; Multivariate data-analysis; D-optimal design; 96-well technology; Drug discovery; Assay optimisation; QSAR; Organic chemistry; Organisk kemi;

   Sammanfattning : New techniques and approaches for organic synthesis, purification and biological testing are enabling pharmaceutical industries to produce and test increasing numbers of compounds every year. Surprisingly, this has not led to more new drugs reaching the market, prompting two questions – why is there not a better correlation between their efforts and output, and can it be improved? One possible way to make the drug discovery process more efficient is to ensure, at an early stage, that the tested compounds are diverse, representative and of high quality. LÄS MER

3. 2. Optimal Design of Experiments for the Quadratic Logistic Model

   Författare :Ellinor Fackle Fornius; Hans Nyquist; Christos Kitsos; Stockholms universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Logistic regression; D-optimality; c-optimality; Canonical design space; Maximum likelihood estimation; Sequential design; Stochastic approximation; Statistics; Statistik; statistik; Statistics;

   Sammanfattning : Optimal design of experiments for binary data is the topic of this thesis. A particular logistic model including a quadratic term in the linear predictor is considered. Determining an optimal design for this model is complicated by the fact that the optimal design is dependent on the unknown true parameters. LÄS MER

4. 3. Computational Diffusion MRI: Optimal Gradient Encoding Schemes

   Författare :Mohammad Alipoor; Chalmers tekniska högskola; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Gradient Encoding Scheme; ADC imaging; Diffusion MRI; D-optimal experiment design; Diffusion Tensor Imaging; Optimal Image acquisition; Second and Fourth Order Tensors.; Diffusion Kurtosis Imaging;

   Sammanfattning : Diffusion-weighted magnetic resonance imaging (dMRI) is a non-invasivestructural imaging technique that provides information about tissue microstructures.Quantitative measures derived from dMRI reflect pathologicaland developmental changes in living tissues such as human brain. LÄS MER

5. 4. Optimal design for dose-finding studies

   Författare :Renata Eirini Tsirpitzi; Frank Miller; Kirsten Schorning; Stockholms universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; bivariate model; distortion; drug combination; Elfving set; Emax model; Fedorov algorithm; mixed effects models; optimal experimental design; Statistics; statistik;

   Sammanfattning : One of the most complex tasks during the clinical development of a new drug is to find a correct dose. Optimal experimental design has as a goal to find the best ways to perform an experiment considering the available resources and the statistical model. Optimal designs have already been used to determine the design of dose-finding studies. LÄS MER

7. 5. Benefits of Non-Linear Mixed Effect Modeling and Optimal Design : Pre-Clinical and Clinical Study Applications

   Författare :Charles Ernest II; Andrew Hooker; Mats Karlsson; Bart Ploeger; Uppsala universitet; []
   Nyckelord :MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; Pharmacometrics; optimal design; nonlinear mixed effects models; population models; Pharmaceutical Science; Farmaceutisk vetenskap;

   Sammanfattning : Despite the growing promise of pharmaceutical research, inferior experimentation or interpretation of data can inhibit breakthrough molecules from finding their way out of research institutions and reaching patients. This thesis provides evidence that better characterization of pre-clinical and clinical data can be accomplished using non-linear mixed effect modeling (NLMEM) and more effective experiments can be conducted using optimal design (OD). LÄS MER