Estimation of Parameters in Random Effect Models with Incidence Matrix Uncertainty

Random effect models have been widely applied in many fields of research. However, models with uncertain design matrices for random effects have been little investigated before. In some applications with such problems, an expectation method has been used for simplicity. This method does not include the extra information of uncertainty in the design matrix is not included. The closed solution for this problem is generally difficult to attain. We therefore propose an two-step algorithm for estimating the parameters, especially the variance components in the model. The implementation is based on Monte Carlo approximation and a Newton-Raphson-based EM algorithm. As an example, a simulated genetics dataset was analyzed. The results showed that the proportion of the total variance explained by the random effects was accurately estimated, which was highly underestimated by the expectation method. By introducing heuristic search and optimization methods, the algorithm can possibly be developed to infer the 'model-based' best design matrix and the corresponding best estimates.

A Psychoanalytic Reading of Vladimir and Estragon in Samuel Beckett’s Waiting for Godot

Much has been written about Samuel Beckett’s Waiting for Godot, but as far as I am aware no one has compared the two characters of Vladimir and Estragon in order to analyse what makes Vladimir more willing to wait than Estragon. This essay claims that Vladimir is more willing to wait because he cannot deal with the fact that they might be waiting in vain and he involves himself more in his surrounding than Estragon. It is Vladimir who waits for Godot, not Estragon, and Vladimir believes that Godot will have all the answers. This will be explored by examining four topics, all of which will be dealt with from a psychoanalytical point of view and in relation to waiting. Consciousness in relation to the decision to wait; Uncertainty in relation to the unknown outcome of waiting; Coping mechanisms in relation to ways of dealing with waiting; Ways of waiting in relation to waiting-time and two kinds of waiting-characters.

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

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. In variance component QTL analysis, a full likelihood model accounting for uncertainty in the identity-by-descent (IBD) matrix was developed. It was found to be able to correctly adjust the bias in genetic variance component estimation and gain power in QTL mapping in terms of precision.  Double hierarchical generalized linear models, and a non-iterative simplified version, were implemented and applied to fit data of an entire genome. These whole genome models were shown to have good performance in both QTL mapping and genomic prediction. A re-analysis of a publicly available GWAS data set identified significant loci in Arabidopsis that control phenotypic variance instead of mean, which validated the idea of variance-controlling genes.  The works in the thesis are accompanied by R packages available online, including a general statistical tool for fitting random effects models (hglm), an efficient generalized ridge regression for high-dimensional data (bigRR), a double-layer mixed model for genomic data analysis (iQTL), a stochastic IBD matrix calculator (MCIBD), a computational interface for QTL mapping (qtl.outbred), and a GWAS analysis tool for mapping variance-controlling loci (vGWAS).

Generationsskillnader i arbetslivet: en kvalitativ studie med utgångspunkt från generation y

In previous studies research has shown that generation y experience resistance from older generations represented in the labor market in USA. The resistance is due to differences between the generations. On the other hand some studies say that differences are more likely to come from other factors such as gender and which stage in life the individual is in. The purpose of this study is to describe how (women in) generation y is experiencing the cooperation with colleagues from other generations and if they considers that differences due to generations exist. The study will also try to determine if the respondents are aware of each generation’s characteristics. To fulfill the purpose of the study a qualitative method was chosen in the shape of a focus group. To be able to answer the purpose an interview guide was developed from previous studies. The guide was divided in three sections; scenarios, exercises and finally questions. The focus group resulted in a two-hour discussion between four individuals belonging to generation y. The result of the study showed that generation y in Falun, Sweden did identify some of the characteristics each generation had. Further did the respondents conform that resistance due to generational differences was a problem. To answer the purpose of the study generation y felt underestimated by the older generations and expressed a certain degree of hopelessness.