Search for dissertations about: "missing data mechanism"
Showing result 1 - 5 of 30 swedish dissertations containing the words missing data mechanism.
-
1. Methodology for Handling Missing Data in Nonlinear Mixed Effects Modelling
Abstract : To obtain a better understanding of the pharmacokinetic and/or pharmacodynamic characteristics of an investigated treatment, clinical data is often analysed with nonlinear mixed effects modelling. The developed models can be used to design future clinical trials or to guide individualised drug treatment. READ MORE
-
2. Uncertainty intervals and sensitivity analysis for missing data
Abstract : In this thesis we develop methods for dealing with missing data in a univariate response variable when estimating regression parameters. Missing outcome data is a problem in a number of applications, one of which is follow-up studies. READ MORE
-
3. Prostate cancer incidence, treatment and mortality : Empirical longitudinal register-based studies and methods for handling missing data
Abstract : The diagnostic activity for prostate cancer has increased substantially in Sweden, primarily due to increased use of prostate-specific antigen (PSA) testing in asymptomatic men, and this has led to a large increase in diagnoses. There have also been changes in the diagnostic workup, guidelines, treatment strategies, and more effective treatments have been introduced in different phases of the disease. READ MORE
-
4. The missing links : Towards an Informed Substitution of Durable Water Repellent Chemicals for Textiles
Abstract : Durable water repellents (DWRs) that provide liquid repellency to functional textiles are part of an ongoing global substitution process. The process of substitution was initiated after DWRs based on side-chain fluorinated polymers (long-chain SFPs) were identified to contribute to the diffuse release of long-chain perfluoroalkyl acids (PFAAs) to the environment. READ MORE
-
5. Finding fitness : empirical and theoretical explorations of inferring fitness effects from population-level SNP data
Abstract : The distribution of fitness effects (DFE) describes the likelihood that a new mutation has a specific effect on the fitness of an individual in a given population. The shape of the DFE is a result of several factors such as population size, mating system and selective environment, and can in turn influence the evolutionary potential of a species. READ MORE