Search for dissertations about: "linear mixed effect models"

Showing result 1 - 5 of 50 swedish dissertations containing the words linear mixed effect models.

2. 1. 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

4. 2. Generalised linear models with clustered data

   Author : Henrik Holmberg; Göran Broström; Kenneth Carling; Umeå universitet; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; Statistics; Statistik; Statistics; statistik;

   Abstract : In situations where a large data set is partitioned into many relativelysmall clusters, and where the members within a cluster have some common unmeasured characteristics, the number of parameters requiring estimation tends to increase with sample size if a fixed effects model is applied. This fact causes the assumptions underlying asymptotic results to be violated. READ MORE

5. 3. Generalized linear models with clustered data

   Author : Henrik Holmberg; Erling Häggström Lundevaller; Göran Broström; Douglas Bates; Umeå universitet; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; Statistics; statistik;

   Abstract : In situations where a large data set is partitioned into many relatively small groups, and where the members within a group have some common unmeasured characteristics, the number of parameters requiring estimation tends to increase with sample size if a fixed effects model is applied. This fact causes the assumptions underlying asymptotic results to be violated. READ MORE

6. 4. 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

7. 5. Explicit Influence Analysis in Crossover Models

   Author : Chengcheng Hao; Tatjana von Rosen; Dietrich von Rosen; Tapio Nummi; Stockholms universitet; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; explicit maximum likelihood estimate; generalised mixed linear model; influential observation; perturbation scheme; statistical diagnostics; Statistics; statistik;

   Abstract : This dissertation develops influence diagnostics for crossover models. Mixed linear models and generalised mixed linear models are utilised to investigate continuous and count data from crossover studies, respectively. READ MORE