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作者：Shi, Jiaxin; Wang, Fang; Gao, Yuan; Song, Xiaojun; Wang, Hansheng
作者单位：Peking University; Shandong University; Peking University; Peking University
摘要：Testing judicial impartiality is a problem of fundamental importance in empirical legal studies for which standard regression methods have been popularly used to estimate the extralegal factor effects. However, those methods cannot handle control variables with ultrahigh dimensionality, such as those found in judgment documents recorded in text format. To solve this problem, we develop a novel mixture conditional regression (MCR) approach, assuming that the whole sample can be classified into ...
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作者：Chi, Sunyi; Flowers, Christopher r.; Li, Ziyi; Huang, Xuelin; Wei, Peng
作者单位：University of Texas System; UTMD Anderson Cancer Center; University of Texas System; UTMD Anderson Cancer Center
摘要：Environmental exposures, such as cigarette smoking, influence health outcomes through intermediate molecular phenotypes, such as the methylome, transcriptome, and metabolome. Mediation analysis is a useful tool for investigating the role of potentially high-dimensional intermediate phenotypes in the relationship between environmental exposures and health outcomes. However, little work has been done on mediation analysis when the mediators are high-dimensional and the outcome is a survival endp...
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作者：Vanegas, Laura Jula; Eltzner, Benjamin; Rudolf, Daniel; Dura, Miroslav; Lehnart, Stephan E.; Munk, Axel
作者单位：University of Gottingen; University of Passau; University of Gottingen; UNIVERSITY GOTTINGEN HOSPITAL; German Centre for Cardiovascular Research
摘要：We propose and investigate a hidden Markov model (HMM) for the analysis of dependent, aggregated, superimposed two-state signal recordings. A major motivation for this work is that often these signals cannot be observed individually but only their superposition. Among others, such models are in high demand for the understanding of cross-talk between ion channels, where each single channel cannot be measured separately. As an essential building block, we introduce a parameterized vector norm de...
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作者：Banker, Margaret; Zhang, Leyao; Song, Peter x. k.
作者单位：University of Michigan System; University of Michigan
摘要：Accelerometry data enables scientists to extract personal digital features useful in precision health decision making. Existing analytic methods often begin with discretizing physical activity (PA) counts into activity categories via fixed cutoffs; however, the cutoffs are validated under restricted settings and cannot be generalized across studies. Here we develop a data-driven approach to overcome this bottleneck in the analysis of PA data in which we holistically summarize an individual's P...
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作者：Cho, Youngjin; Do, Quyen; Du, Pang; Hong, Yili
作者单位：Virginia Polytechnic Institute & State University; Corning Inc; State University of New York (SUNY) System; SUNY Community College
摘要：Renewable energy is critical for combating climate change, whose first step is the storage of electricity generated from renewable energy sources. Li-ion batteries are a popular kind of storage units. Their continuous usage through charge-discharge cycles eventually leads to degradation. This can be visualized by plotting voltage discharge curves (VDCs) over discharge cycles. Studies of battery degradation have mostly concentrated on modeling degradation through one scalar measurement summariz...
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作者：Guan, Tianyu; Ho, Jason; Krider, Robert; Cao, Jiguo; Fogg, Andrew
作者单位：York University - Canada; Simon Fraser University; Simon Fraser University
摘要：This paper studies the dynamic patterns of the prelaunch online movie reviews, or movie electronic word-of-mouth (eWOM), over time and investigates their relations to the subsequent box office revenues. The volume and valence of prelaunch eWOM have been shown to be early indicators of strong or weak box office. The time patterns of prelaunch eWOM evolution, which are essentially functional data, on the other hand, tend to be overlooked. We apply the functional principal component analysis, a d...
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作者：Zhang, Yiwen; Dai, Ran; Huang, Ying; Prentice, Ross; Zheng, Cheng
作者单位：University of Wisconsin System; University of Wisconsin Milwaukee; University of Nebraska System; University of Nebraska Medical Center; Fred Hutchinson Cancer Center
摘要：Systematic measurement error in self -reported data creates important challenges in association studies between dietary intakes and chronic disease risks, especially when multiple dietary components are studied jointly. The joint regression calibration method has been developed for measurement error correction when objectively measured biomarkers are available for all dietary components of interest. Unfortunately, objectively measured biomarkers are only available for very few dietary componen...
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作者：Luo, Yutong; Bailey-Wilson, Joan E.; Albanese, Christopher; Fan, Ruzong
作者单位：Georgetown University; National Institutes of Health (NIH) - USA; NIH National Human Genome Research Institute (NHGRI); Georgetown University; National Institutes of Health (NIH) - USA; NIH National Human Genome Research Institute (NHGRI)
摘要：Understanding cell type composition and gene expression of spatial transcriptomic data is crucial for comprehending phenotypic variability and detecting key factors that influence disease susceptibility of complex traits. Detecting cell type specific expression patterns from spatial transcriptome profiles is important in studying the cellular components and gene expression of individual cell classes and structural architecture. In this paper we develop mixed effect multiplicative-additive Pois...
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作者：Jeng, X. Jessie; Hu, Yifei; Sun, Quan; Li, Yun
作者单位：North Carolina State University; University of North Carolina; University of North Carolina Chapel Hill; University of North Carolina School of Medicine; University of North Carolina; University of North Carolina Chapel Hill; University of North Carolina School of Medicine
摘要：In this study we present a data -driven method called false negative control (FNC) screening to address the challenge of detecting weak signals in underpowered genome-wide association studies (GWASs), where true signals are often obscured by a large amount of noise. Our approach focuses on controlling false negatives and efficiently regulates the proportion of false negatives at a user -specified level in realistic settings with arbitrary covariance dependence between variables. We calibrate o...
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作者：Li, Didong; Jones, Andrew; Engelhardt, Barbara
作者单位：University of North Carolina; University of North Carolina Chapel Hill; University of North Carolina School of Medicine; Princeton University; University of California System; University of California San Francisco; The J David Gladstone Institutes
摘要：Case-control experiments are essential to the scientific method, as they allow researchers to test biological hypotheses by looking for differences in outcome between cases and controls. It is then of interest to characterize variation that is enriched in a foreground (case) dataset relative to a background (control) dataset. For example, in a genomics context, the goal is to identify low-dimensional transcriptional structure unique to patients with certain disease (cases) vs. those without th...
