Sökning: "Causal inference"
Visar resultat 6 - 10 av 59 avhandlingar innehållade orden Causal inference.
6. Elucidating causal relationships between energy homeostasis and cardiometabolic outcomes
Sammanfattning : Energy metabolism dyshomeostasis is associated with multiple health problems. For example, abundant epidemiological data show that obesity and overweight increase the risk of cardiometabolic diseases and early mortality. LÄS MER
7. Searching for causal effects of road traffic safety interventions : applications of the interrupted time series design
Sammanfattning : Traffic-related injuries represent a global public health problem, and contribute largely to mortality and years lived with disability worldwide. Over the course of the last decades, improvements to road traffic safety and injury surveillance systems have resulted in a shift in focus from the prevention of motor vehicle accidents to the control of injury events involving vulnerable road users (VRUs), such as cyclists and moped riders. LÄS MER
8. Robust inference of gene regulatory networks : System properties, variable selection, subnetworks, and design of experiments
Sammanfattning : In this thesis, inference of biological networks from in vivo data generated by perturbation experiments is considered, i.e. deduction of causal interactions that exist among the observed variables. Knowledge of such regulatory influences is essential in biology. LÄS MER
9. Causal Inference: Applications in Education, Violence, and the Scientific Process
Sammanfattning : This thesis consists of five self-contained chapters. In chapter 1, I analyze how replications affect how underlying studies are cited. My results provide no evidence that citations changed in response to either successful or failed replications, with potentially worrying implications for the self-corrective ability of the scientific process. LÄS MER
10. Enhancing prediction and causal inference in metabolic dyshomeostasis
Sammanfattning : This thesis is focused on two globally prevalent diseases: i) non-alcoholic fatty liver disease (NAFLD) and ii) type 2 diabetes (T2D), with an overall aim of improving prediction and causal inference in the context of these conditions. Our projects were mainly conducted using IMI DIRECT and UK Biobank datasets including multi-omics data, extensive environmental exposures, and biological intermediates. LÄS MER