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Exploring the Association between Parental Concern about Vaccine Safety and Incomplete Childhood Immunization: A Multivariate Model
DownloadSpring 2013
High levels of immunization coverage are required to maintain control of infectious diseases that previously caused significant illness and death in Canada. However, childhood immunizations have been so successful that many Canadians have never seen the impact of these diseases, with some parents...
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Fall 2020
Multivariate techniques aim to integrate multiple variables and/or data in the same framework to improve uncertainty assessment in high resolution geostatistical models. The necessity to build models that better quantify the uncertainty with limited data that are often collected with different...
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Spring 2015
Evaluating the process performance of mining and petroleum operations requires numerical geological models of many related rock properties or variables. Taken together, they provide a characterization of the geologic deposit that forms the basis for engineering design and decision making. Complex...
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Multiple Outcomes in Heart Failure Research: Composite Endpoints and Multivariate Modelling
DownloadFall 2017
Composite endpoints are increasingly popular outcomes in clinical trials of heart failure. Uptake has outpaced guidance on their use and little consistency is seen in their construction. We must consider how best to handle multiple outcomes statistically and clinically, ie in a way that is both...
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Multivariate geostatistical modeling of unconventional shale gas reservoirs in the presence of sparse data
DownloadFall 2018
A geostatistical workflow for modeling multivariate sparsely sampled variables in shale gas reservoirs is proposed in this thesis and applied to a study area in the HRB. This workflow accounts for direct and cross spatial correlation between variables while decreases computational modeling time...
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Spring 2017
Reservoir management tools use geostatistical models to make better decisions and improve hydrocarbon recovery. Developing improved numerical modeling techniques that lead to more accurate and precise geostatistical models will improve flow forecasting, hydrocarbon recovery, reservoir management...