Sökning: "Generalized linear mixed model"

Visar resultat 1 - 5 av 16 avhandlingar innehållade orden Generalized linear mixed 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

  2. 2. Generalized linear models with clustered data

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

    Sammanfattning : 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. LÄS MER

  3. 3. Methodological studies on non-linear mixed effects model building

    Författare :E. Niclas Jonsson; Uppsala universitet; []
    Nyckelord :MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; Pharmacy; FARMACI; PHARMACY; FARMACI; Biopharmaceutics; biofarmaci;

    Sammanfattning : Population analysis of pharmacokinetic/pharmacodynamic (PK/PD) data by the use of non-linear mixed effects modeling offers a number of benefits over traditional methods of analyzing this type of data. These benefits include the possibility to appropriately characterize the typical PK/PD behaviour in the population as well as the associated variability when only a few observations are available for each individual. LÄS MER

  4. 4. Postural and Muscular Responses of Car Occupants under Pre-Crash Conditions

    Författare :Ghazaleh Ghaffari; Chalmers tekniska högskola; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; EMG; vehicle occupant kinematics; pre-crash; evasive maneuvers; lane change; human body model; pre‐pretensioner belt; principal component analysis; linear mixed model;

    Sammanfattning : Advanced integrated safety technologies in modern cars such as collision avoidance intervention and pre-crash activated restraint systems require comprehensive research on how vehicle occupants respond to these systems. The aim of this thesis is to provide insights into car passengers’ body kinematics and muscle activations in representative pre-crash circumstances with respect to two belt configurations (i. LÄS MER

  5. 5. Feasible computation of generalized linear mixed models with application to credit risk modelling

    Författare :Md. Moudud Alam; Göran Boström; Örebro universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Credit risk; cluster correlation; GLMM; large data; two-step pseudo likelihood estimation; defaults contagion; predictive likelihood; SOCIAL SCIENCES; SAMHÄLLSVETENSKAP; Statistics; Statistik; Statistics; Statistik; Complex Systems – Microdata Analysis;

    Sammanfattning : This thesis deals with developing and testing feasible computational procedures to facilitate the estimation of and carry out the prediction with the generalized linear mixed model (GLMM) with a scope of applying them to large data sets. The work of this thesis is motivated from an issue arising incredit risk modelling. LÄS MER