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作者：Jadhav, Sneha; Ma, Chenjin; Jiang, Yefei; Shia, Ben-Chang; Ma, Shuangge
作者单位：Wake Forest University; Beijing University of Technology; Fu Jen Catholic University; Yale University
摘要：Prevalence is of essential importance in biomedical and public health research. In the classic paradigm it has been studied for each disease individually. Accumulating evidence has shown that diseases can be correlated. Joint analysis of prevalence can potentially provide important insights beyond individual-disease analysis but has not been well pursued. In this study we take advantage of the unique Taiwan National Health Insurance Research Database (NHIRD) and conduct the first pan-disease a...
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作者：Kim, Juhyun; Shen, Judong; Wang, Anran; Mehrotra, Devan, V; Ko, Seyoon; Zhou, Jin J.; Zhou, Hua
作者单位：University of California System; University of California Los Angeles; Merck & Company; Merck & Company USA; University of California System; University of California Los Angeles
摘要：Single nucleotide polymorphism (SNP) set analysis aggregates both common and rare variants and tests for association between phenotype(s) of interest and a set. However, multiple SNP-sets, such as genes, pathways, or sliding windows are usually investigated across the whole genome in which all groups are tested separately, followed by multiple testing adjustments. We propose a novel method to prioritize SNP-sets in a joint multivariate variance component model. Each SNP-set corresponds to a va...
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作者：Wang, Lin; Elmstedt, Jake; Wong, Weng Kee; Xu, Hongquan
作者单位：George Washington University; University of California System; University of California Los Angeles; University of California System; University of California Los Angeles
摘要：The dramatic growth of big datasets presents a new challenge to data storage and analysis. Data reduction, or subsampling, that extracts useful information from datasets is a crucial step in big-data analysis. We propose an orthogonal subsampling (OSS) approach for big data with a focus on linear regression models. The approach is inspired by the fact that an orthogonal array of two levels provides the best experimental design for linear regression models in the sense that it minimizes the ave...
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作者：Li, Yicheng; Raftery, Adrian E.
作者单位：University of Washington; University of Washington Seattle
摘要：Smoking is one of the main risk factors that has affected human mortality and life expectancy over the past century. Smoking accounts for a large part of the nonlinearities in the growth of life expectancy and of the geographic and gender differences in mortality. As Bongaarts (Popul. Dev. Rev. 32 (2006) 605-628) and Janssen (Genus 74 (2018) 21) suggested, accounting for smoking could improve the quality of mortality forecasts due to the predictable nature of the smoking epidemic. We propose a...
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作者：Mohammed, Shariq; Bharath, Karthik; Kurtek, Sebastian; Rao, Arvind; Baladandayuthapani, Veerabhadran
作者单位：University of Michigan System; University of Michigan; University of Nottingham; University System of Ohio; Ohio State University
摘要：Recent technological advancements have enabled detailed investigation of associations between the molecular architecture and tumor heterogeneity through multisource integration of radiological imaging and genomic (radiogenomic) data. In this paper we integrate and harness radiogenomic data in patients with lower grade gliomas (LGG), a type of brain cancer, in order to develop a regression framework called RADIOHEAD (RADIOgenomic analysis incorporating tumor HEterogeneity in imAging through Den...
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作者：Yu, Ruoqi; Small, Dylan S.; Rosenbaum, Paul R.
作者单位：University of Pennsylvania
摘要：A widely noted failure of causal inference occurred when several observational studies claimed that hormone replacement therapy (HRT) reduced risk of cardiovascular disease; yet, subsequent randomized trials found an increased, not a decreased, cardiovascular risk. We take a close look at covariate imbalances in one of the observational data sets. We use some old, some recent, and some new methods, plus we update an important, simple but largely forgotten suggestion of William Cochran about sc...
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作者：Zhang, Jiachen; Crippa, Paola; Genton, Marc G.; Castruccio, Stefano
作者单位：University of Notre Dame; University of Notre Dame; King Abdullah University of Science & Technology
摘要：Facing increasing societal and economic pressure, many countries have established strategies to develop renewable energy portfolios whose penetration in the market can alleviate the dependence on fossil fuels. In the case of wind, there is a fundamental question related to the resilience and hence profitability of future wind farms to a changing climate, given that current wind turbines have lifespans of up to 30 years. In this work we develop a new non-Gaussian method to adjust assimilated ob...
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作者：Xie, Shanghong; Zeng, Donglin; Wang, Yuanjia
作者单位：Columbia University; University of North Carolina; University of North Carolina Chapel Hill
摘要：The biomarker networks measured by different modalities of data (e.g., structural magnetic resonance imaging (sMRI), diffusion tensor imaging (DTI)) may share the same true underlying biological model. In this work we propose a nodewise biomarker graphical model to leverage the shared mechanism between multimodality data to provide a more reliable estimation of the target modality network and account for the heterogeneity in networks due to differences between subjects and networks of external...
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作者：Yang, Jenny; Liu, Yang; Liu, Yufeng; Sun, Wei
作者单位：University of North Carolina; University of North Carolina Chapel Hill; University System of Ohio; Wright State University Dayton; University of North Carolina; University of North Carolina Chapel Hill; Fred Hutchinson Cancer Center
摘要：Graphical model is a powerful and popular approach to study high-dimensional omic data, such as genome-wide gene expression data. Nonlinear relations between genes are widely documented. However, partly due to sparsity of data points in high-dimensional space (i.e., curse of dimensionality) and computational challenges, most available methods construct graphical models by testing linear relations. We propose to address this challenge by a two-step approach: first, use a model-free approach to ...
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作者：Yu, Xingchen; Rodriguez, Abel
作者单位：University of California System; University of California Santa Cruz; University of Washington; University of Washington Seattle
摘要：The use of spatial models for inferring members' preferences from voting data has become widespread in the study of deliberative bodies, such as legislatures. Most established spatial voting models assume that ideal points belong to a Euclidean policy space. However, the geometry of Euclidean spaces (even multidimensional ones) cannot fully accommodate situations in which members at the opposite ends of the ideological spectrum reveal similar preferences by voting together against the rest of ...
