Sökning: "Clustered regression analysis"
Visar resultat 1 - 5 av 13 avhandlingar innehållade orden Clustered regression analysis.
1. Group-Sparse Regression : With Applications in Spectral Analysis and Audio Signal Processing
Sammanfattning : This doctorate thesis focuses on sparse regression, a statistical modeling tool for selecting valuable predictors in underdetermined linear models. By imposing different constraints on the structure of the variable vector in the regression problem, one obtains estimates which have sparse supports, i.e. LÄS MER
2. Correlated random effects models for clustered survival data
Sammanfattning : Frailty models are frequently used to analyse clustered survival data in medical contexts. The frailties, or random effects, are used to model the association between individual survival times within clusters. LÄS MER
3. Subspace Selection Techniques for Classification Problems
Sammanfattning : The main topic of this thesis is linear subspaces for regression - how to find the subspaces and how to evaluate them. The motivation to do regression in a subspace is numerical as well as computational - numerical in the sense that the subspace can filter out the relevant components or features of the problem, computationally in the sense that this filtering can be done quickly and then can nonlinear predictionby artificial neural networks, for instance, be conducted in lower dimensionality. LÄS MER
4. Semiparametric survival models for routine register data
Sammanfattning : Routine registers offer researchers opportunities to carry out studies of covariate effects on lifetimes of rare diseases otherwise infeasible because of the large cohorts required. Familial relationships necessary for analysis of environmental or genetic factors can be identified by record linking. LÄS MER
5. Efficient design and analysis of extended case-control studies
Sammanfattning : The nested case-control design is widely used in epidemiology for its efficiency, as it combines the advantages of both cohort and case-control designs. This design is an extension of the matched case-control design, where the matching variable is the time of occurrence of the outcome. LÄS MER