Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 39 for “"Statistical methodologies"”.
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Statistical methodologies for network meta-analysis with applications in veterinary medicine
Network meta-analysis (NMA) has become a popular method with which to conduct research syntheses pertaining to multiple interventions, as it allows for the comparison of interventions that have not been directly compared and typically improves precision of the comparative effect estimates relative …
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Development of statistical methodologies and risk models to perform real-time safety monitoring in interventional cardiology
Post-marketing surveillance of medical pharmaceuticals and devices has received a great deal of media, legislative, and academic attention in the last decade. Among medical devices, these have largely been due to a small number of highly publicized adverse events, some of them in the domain of …
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Novel Statistical Methodologies in Analysis of Position Emission Tomography Data: Applications in Segmentation, Normalization, and Trajectory Modeling
Position emission tomography (PET) is a powerful functional imaging modality with wide uses in fields such as oncology, cardiology, and neurology. Motivated by imaging datasets from a psoriasis clinical trial and a cohort of Alzheimer's disease (AD) patients, several interesting methodological …
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Spatial association in archaeology. Development of statistical methodologies and computer techniques for spatial association of surface, lattice and point processes, applied to prehistoric evidence in North Yorkshire and to the Heslerton Romano-British site.
The thesis investigates the concepts of archaeological spatial association within the context of both site and regional data sets. The techniques of geophysical surveying, surface distribution collection and aerial photography are described and discussed. Several new developments of technique are …
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Two Methodologies: How Well Can Universities Predict Retention
… but it is also important to study different statistical methodologies. With the advancement in technology, new methodologies such as the Classification and Regression Tree (CART) have proven to yield significant results in a variety of research fields. As these new statistical methodologies …
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Assessment of control and performance of biomedical systems
… are often collected, thus presenting a statistical challenge due to high temporal correlation. This research investigates the potential utility of two distinct statistical methodologies in their application. Application: Two clinically diverse biomedical systems, linked by the common …
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Luce's Challenge: Quantitative Models and Statistical Methodology
… data collected to test them. I provide general methodologies to transform deterministic theories into probabilistic ones as well as develop general statistical methodologies to test these new, suitably transformed, decision theories. Under this framework, I examine the axiom of transitivity and …
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THE INTEGRATION OF SECOND - GENERATION MIGRANTS: EXPLORING LABOUR MARKET DYNAMICS IN ITALY.
… from 2018 to 2022. Through the application of statistical methodologies, the research endeavours to elucidate the disparities in employment access and job arrangments among natives, mixed, and second generation migrants. This dissertation aims to enhance our comprehension of the divergent …
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Using spatial methods to analyse anthropogenic predation risk and movement ecology of white-tailed deer (Odocoileus virginianus)
… Cross Timbers ecoregion of Oklahoma. Using new statistical methodologies to analyse simultaneous GPS tracking data on deer and hunters to study their spatial interactions. The results show how new methods allow us to quantify the spatial ecology and behaviour of White-tailed deer in response to …
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Risk in agriculture : a study of crop yield distributions and crop insurance
… given the appropriate mathematical and statistical methodologies. Accurate information about the nature of historical crop yields is an important modeling input that helps farmers, agribusinesses, and governmental bodies in managing risk and establishing the proper policies for such …
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Sequential learning, large-scale calibration, and uncertainty quantification
… dissertation consists of six chapters, exploring statistical methodologies in sequential learning, model calibration, and uncertainty quantification for heteroskedastic computer experiments and large-scale computer experiments. For heteroskedastic computer experiments, an optimal lookahead based …
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Challenges in Electric Vehicle Adoption and Vehicle-Grid Integration
… a range of operation research, simulation, and statistical methodologies. The outcome will facilitate governmental bodies in developing technology and policy roadmaps for accelerating electric vehicle deployment, and also help utilities, energy system operators, and system planners to properly …
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The relationship between financial inclusion and entrepreneurship among South African women
… Global Findex Database was used, and various statistical methodologies, including correlation and regression analysis, were applied. The nature and strength of the relationships between financial inclusion and entrepreneurship among South African women were analysed to understand the impact of …
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Elucidating the regulation of the Yeast Metabolic Cycle through the integration of gene expression and chromatin status
… constitutes a novel application of different statistical methodologies for the integration of chromatin status data (ChIP-Seq) and gene expression data (RNA-Seq) to better understand the YMC. The usage of regression models (N-PLS and MORE methodologies) for the omics integration allowed us for …
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Statistics in Historical Musicology
Statistical techniques are well established in many historical disciplines and are used extensively in music analysis, music perception, and performance studies. However, statisticians have largely ignored the many music catalogues, databases, dictionaries, encyclopedias, lists and other datasets …
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Higher-order thinking in the high-stakes accountability era : linking student engagement and standardized test performance
… REQUEST.] The present study attempted to statistically test whether a nexus exists between student engagement levels within schools that elect to incorporate the Instructional Practices Inventory (IPI)and the integrity with which the treatment was adopted over time. After answering this …
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Process development for high powered amplifier Au/Sn eutectic die attach via vacuum furnace
… levels against the accept/reject criteria. Statistical methodologies were employed to troubleshoot root causes for special cause variation of initial attachment failures. A design of experiment was conducted testing three factors each at two levels (process gas [Gas A, Gas B], leaking …
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Variable Selection and Hypothesis Testing for High-Dimensional Models in Mental Health Research
… and sample size determination, often undermining statistical stability, interpretability, and computational efficiency. This dissertation develops and evaluates novel statistical methodologies aimed at improving inference in high-dimensional and structurally complex mental health data. The first …
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A psychometric investigation of group differences in mean and variability as measured by the Raven's Standard Progressive Matrices Plus
… should employ representative samples and robust statistical methodologies to assess sex differences on the Raven’s from a multiple factor perspective.
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An Empirical Study of API Breaking Changes in Bioconductor
… in the programming language R, that allow statistical methodologies for analysis and modelling of data. However, as these packages evolve, their APIs go through changes that can break existing user code. Fixing these API breaking changes whenever a package is updated can be frustrating and …
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