Search for dissertations about: "non linear mixed effect model"

Showing result 1 - 5 of 25 swedish dissertations containing the words non linear mixed effect model.

2. 1. Novel Statistical Methods in Quantitative Genetics : Modeling Genetic Variance for Quantitative Trait Loci Mapping and Genomic Evaluation

   Author : Xia Shen; Örjan Carlborg; Lars Rönnegård; William Hill; Uppsala universitet; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; statistical genetics; quantitative trait loci; genome-wide association study; genomic selection; genetic variance; hierarchical generalized linear model; linear mixed model; random effect; heteroscedastic effects model; variance-controlling genes; Complex Systems – Microdata Analysis;

   Abstract : This thesis develops and evaluates statistical methods for different types of genetic analyses, including quantitative trait loci (QTL) analysis, genome-wide association study (GWAS), and genomic evaluation. The main contribution of the thesis is to provide novel insights in modeling genetic variance, especially via random effects models. READ MORE

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

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

   Abstract : 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). READ MORE

5. 3. Models for Ordered Categorical Pharmacodynamic Data

   Author : Per-Henrik Zingmark; Mats O Karlsson; E. Niclas Jonsson; France Mentré; Uppsala universitet; []
   Keywords : MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; Pharmacokinetics Pharmacotherapy; Pharmacodynamic; Modelling; Categorical data; NONMEM; Proportional odds model; Markov model; Differential drug effect model; Farmakokinetik Farmakoterapi; PHARMACY; FARMACI;

   Abstract : In drug development clinical trials are designed to investigate whether a new treatment is safe and has the desired effect on the disease in the target patient population. Categorical endpoints, for example different ranking scales or grading of adverse events, are commonly used to measure effects in the trials. READ MORE

6. 4. On the rehabilitation of non-acute, non-specific spinal pain

   Author : Odd Lindell; Karolinska Institutet; Karolinska Institutet; []
   Keywords : ;

   Abstract : Background: Non-specific spinal pain (NSP), comprising back and/or neck pain, is one of the leading disorders behind long-term sick-listing. The general aim was to study the rehabilitation of non-acute (=leading to full-time sick-listing > 3 weeks) NSP as regards epidemiology ((Study) I), reliability (II), treatment (III), and return-to-work prediction (IV). READ MORE

7. 5. Mixed Effects Modelling and Optimal Design of TNFα Response in LPS Challenge Studies - Methods and Applications in Drug Discovery

   Author : Julia Larsson; Chalmers tekniska högskola; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; pharmacodynamics; pharmacokinetics; non-linear mixed effects modelling; lipopolysaccharides; tumour necrosis factor alpha; optimal design;

   Abstract : ''Endotoxin and mycoplasma are Nature’s darkest secrets. If they are ever solved, Hell itself will open.'' - Lewis Thomas* Endotoxin, or lipopolysaccharides (LPS), are heterogeneous components from the cell wall of Gram-Negative bacteria and a common challenger in the field of drug discovery. READ MORE