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 110 for “"Summary Statistics"”.
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Summary statistics and sequential methods for approximate Bayesian computation
… for different parameter values, and comparing summary statistics of the simulated data to summary statistics of the observed data. This thesis looks at two related methodological issues for ABC. Firstly a method is proposed to construct appropriate summary statistics for ABC in a semi-automatic …
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Functional and cross-trait genetic architecture of common diseases and complex traits
… annotation from genome-wide association summary statistics, and I apply it to 17 diseases and traits and many different functional annotations. Next, I show how to apply this method to use gene expression data to identify diseaserelevant tissues and cell types. I next introduce a method …
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Ancestry-based Methods for Characterizing the Evolutionary History of Admixed Populations
… First, I develop a suite of ancestry-based summary statistics and computational methods to detect post-admixture adaptation, and demonstrate their application in a case study of human adaptation to malaria. In particular, these summary statistics incorporate patterns of ancestry beyond the …
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Integrative statistical methods for the genomic analysis of immune-mediated disease
… To examine the genome-wide enrichment of GWAS summary statistics within PCHi-C chromatin contact maps I developed a novel statistical method, blockshifter. I applied \textit{blockshifter} to a compendium of GWAS summary statistics for 31 traits and PCHi-C data across 17 primary blood tissues, …
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Genetic Risk Factors for PTSD: A Gene-Set Analysis of Neurotransmitter Receptors
… (GWAS) using massive sample sizes and have made summary statistics available for public use. In 2018, a new technique for high-powered analysis of GWAS summary statistics called GSA-SNP2 was introduced. In order to explore the relationship between PTSD and genetic variants in widely theorized …
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Development and Validation of the Helplessness Self-Statement Inventory
… Inventory (HSSI); the collection of summary statistics and reliability data for the instrument; and the collection of data establishing its construct and criterion-related validity.
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Statistical and Computational Methods to Dissect Ancestry-Biased Germline Effects in Lung Cancer
… by analyzing genome-wide association study summary statistics from European and Japanese biobanks. Using stratified linkage disequilibrium regression in conjunction wit gene expression-based and epigenetic annotations, we derive cell-types and biological processes associated with lung cancer …
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Inverse Problems in Agent-Based Models of Spatial Phenomena
… individual (agent) behaviours from aggregate summary statistics constitutes a fundamental inverse problem in the study of socio-physical systems. This thesis examines a key facet of this problem that involves inferring the discrete origin-destination matrix (ODM) of agent trip counts between …
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Estimation of Important Scenic Beauty Covariates from Remotely Sensed Data
… only conifer stands were used in the analyses. Summary statistics were obtained from a 23 by 23 window around plot locations in three images: the original image, a texture image created with the variance algorithm and a 7x7 window, and the first principal component image. The summary statistics …
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Genetic and epigenetic associations with child development and mental health in a South African birth cohort
… PRS for ADHD was generated (target n=958) using summary statistics from the Early Genetics and Lifecourse Epidemiology (EAGLE) consortium (discovery n=17,666). Gestational EA deviation at birth and MRS were calculated using DCHS umbilical cord blood samples (n=275) and summary statistics from the …
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Determining Properties of Synaptic Structure in a Neural Network through Spike Train Analysis
… networks through cluster analysis of spike train summary statistics A complexity measure for the network structure is also presented which has a one-to-one correspondence with the standard time series complexity measure sample entropy.
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Job Satisfaction of Community College Chairpersons
… Frequencies, percentages and appropriate summary statistics were computed for the personal and unit-related characteristics. The reliability and content validity of the MSQ were determined. Cronbach's alpha was computed to measure the internal consistency of the 20 MSQ facet scales and the …
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Clustering of immune-mediated diseases using genomic data
… also cluster the diseases themselves using GWAS summary statistics. I conducted an extensive study of biclustering methods and found that a Bayesian biclustering method called SSLB had best performance on simulated datasets and recovered biologically relevant biclusters in a knockout mouse …
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Pleiotropy in complex traits
… (OA) and bone-mineral density (BMD), using summary statistics from two large-scale GWAS. OA and BMD are known to be inversely correlated, yet the genetics underlying this link remain poorly understood. I found robust evidence for association with OA at the SMAD3 locus, which is known to play …
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Extensions of Weighted Multidimensional Scaling with Statistics for Data Visualization and Process Monitoring
… data. However, visualizations, just as any data summary, can be misleading when they do not incorporate measures of uncertainty; e.g., uncertainty from the data or the dimension reduction algorithm used to create the visual display. We incorporate uncertainty into visualizations created by a …
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Essays on Sustainable Development and Human Capital
… outcomes, which I argue provide one of our best summary statistics for "human well being" in general. Whether the constraints are imposed by natural systems (Chapters 2 and 3) or human ones (Chapter 4) I find strong evidence to suggest that attempts to pursue sustainable economic development must …
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Artificial intelligence impact on occupations and workforce
… Learning (SML). This paper builds on their summary statistics to provide a more detailed analysis of where ML is likely to have its greatest impact in the economy. Combining their technological suitability data with labor market data, this paper suggests a policy model for better planning …
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Information provision in rating systems and traffic systems
… customers see the full history of reviews, and summary statistics, where the platform reports some summary statistics of past reviews. In both cases, we characterize the asymptotic speed of learning and show that the incentivizes of the platform is aligned with maximizing the speed of learning. …
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Bayesian models for unmeasured confounder in the analysis of time-to-event data.
… a novel Bayesian bias adjustment model when only summary statistics are available in the external validation data. Finally, we discuss and obtain several sets of solutions for different sources of validation data, censoring rates and sample sizes through simulation studies.
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Calibrating high frequency trading data to agent based models using approximate Bayesian computation
… parameters unidentifiable given insucient summary statistics.
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