Sökning: "biostatistics"
Visar resultat 1 - 5 av 13 avhandlingar innehållade ordet biostatistics.
1. Risk, Risk Analysis and Decision-making with Reference to Biostatistics and the Field of Medicine
Sammanfattning : Risk, risk analysis and decision-making are essential aspects of health care andmedicine, for patients as well as for physicians and for society as a whole, andthe concept of risk and risk analysis in decision-making has a long history. Theword risk has many different interpretations and has no commonly accepteddefinition. LÄS MER
2. Estimation and Inference for Quantile Regression of Longitudinal Data : With Applications in Biostatistics
Sammanfattning : This thesis consists of four papers dealing with estimation and inference for quantile regression of longitudinal data, with an emphasis on nonlinear models.The first paper extends the idea of quantile regression estimation from the case of cross-sectional data with independent errors to the case of linear or nonlinear longitudinal data with dependent errors, using a weighted estimator. LÄS MER
3. Nonlinear Quantile Regression for Longitudinal Data
Sammanfattning : The overall objective of the two papers in this thesis is to examine the properties of the weighted nonlinear quantile regression estimator for the analysis of longitudinal data. To this end, the question of which weights to be used, the bias of the estimator and the possibility to calculate confidence intervals has to be examined. LÄS MER
4. Patient stratification and treatment effects in diseases with disturbed cardiac function
Sammanfattning : Background: Cardiovascular disease characteristics are often measured using a combination of different measurement modalities. By combining information from these modalities using statistical modelling we can gain additional knowledge about these diseases. LÄS MER
5. Network modeling and integrative analysis of high-dimensional genomic data : Nätverksmodellering och integrativ analys av högdimensionell genomikdata
Sammanfattning : Genomic data describe biological systems on the molecular level and are, due to the immense diversity of life, high-dimensional. Network modeling and integrative analysis are powerful methods to interpret genomic data. LÄS MER