Sökning: "heteroscedastic effects model"

Hittade 3 avhandlingar innehållade orden heteroscedastic effects model.

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

    Författare :Xia Shen; Örjan Carlborg; Lars Rönnegård; William Hill; Uppsala universitet; []
    Nyckelord :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;

    Sammanfattning : 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. LÄS MER

  3. 2. Improved Methods for Pharmacometric Model-Based Decision-Making in Clinical Drug Development

    Författare :Anne-Gaëlle Dosne; Mats O. Karlsson; Rik Schoemaker; Uppsala universitet; []
    Nyckelord :MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; pharmacometrics; nonlinear mixed-effects models; confirmatory trials; residual error modeling; parameter uncertainty; sampling importance resampling; model-averaging; Farmaceutisk vetenskap; Pharmaceutical Science;

    Sammanfattning : Pharmacometric model-based analysis using nonlinear mixed-effects models (NLMEM) has to date mainly been applied to learning activities in drug development. However, such analyses can also serve as the primary analysis in confirmatory studies, which is expected to bring higher power than traditional analysis methods, among other advantages. LÄS MER

  4. 3. Low-level analysis of microarray data

    Författare :Henrik Bengtsson; Matematisk statistik; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; programmering; aktuariematematik; Statistik; operationsanalys; Statistics; operations research; programming; actuarial mathematics;

    Sammanfattning : This thesis consists of an extensive introduction followed by seven papers (A-F) on low-level analysis of microarray data. Focus is on calibration and normalization of observed data. The introduction gives a brief background of the microarray technology and its applications in order for anyone not familiar with the field to read the thesis. LÄS MER