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作者：Fernandez, Itziar; Yolanda, Larriba; Canedo, Christian; Rueda, Cris tina
作者单位：Universidad de Valladolid
摘要：The Frequency Modulated M & ouml;bius (FMM) approach is a contemporary and versatile tool for analyzing oscillatory signals. Within the functional data analysis framework, the FMM model offers an accurate alternative for comprehending multidimensional synchronized oscillatory signals, which are common in various fields including biology and medicine. This approach decomposes the signals into scaled M & ouml;bius waves formulated in terms of four parameters, interpreted as measures of location ...
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作者：Rubio, Mateo Dulce; Kennedy, Edward H.; Bacak, Valerio; Nagin, Daniel S.
作者单位：Carnegie Mellon University; Carnegie Mellon University; Rutgers University System; Rutgers University New Brunswick
摘要：The causal link between victimization and violence later in life is largely accepted but has been understudied for victimized adolescents. In this work we use the Add Health dataset, the largest nationally representative longitudinal survey of adolescents, to estimate the relationship between victimization and future offending in this population. To accomplish this, we derive a new doubly robust estimator for the average treatment effect on the treated (ATT) when the exposure and outcome are n...
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作者：Chattopadhyay, Shounak; Engel, Stephanie M.; Dunson, David
作者单位：University of California System; University of California Los Angeles; University of North Carolina; University of North Carolina Chapel Hill; University of North Carolina School of Medicine; Duke University; Duke University
摘要：There is abundant interest in assessing the joint effects of multiple exposures on human health. This is often referred to as the mixtures problem in environmental epidemiology and toxicology. Classically, studies have examined the adverse health effects of different chemicals one at a time, but there is concern that certain chemicals may act together to amplify each other's effects. Such amplification is referred to as synergistic interaction, while chemicals that inhibit each other's effects...
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作者：Cheng, Chao; Ma, Hanteng; Zhong, Yujie; Uhlemann, Anne-Catrin; Feng, Xingdong; Hu, Jianhua
作者单位：Jiangxi University of Finance & Economics; Columbia University; Columbia University
摘要：The microbiome has been found to have a close relationship with human health. Advancements in sequencing technologies have enabled in-depth studies of microbial communities and their associations with various diseases. When analyzing microbiome data, it is common to perform compositional scale normalization to ensure statistical validity. This requires special treatment to address the unique characteristics of microbiome data. Furthermore, biomedical studies often involve repeated measurements...
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作者：Wang, Fan; Zhang, Wei; Yao, Fang
作者单位：Columbia University; Peking University
摘要：The identification of genetic signal regions in the human genome is critical for understanding the genetic architecture of complex traits and diseases. Numerous methods based on scan algorithms (i.e., QSCAN, SCANG, SCANG-STAAR) have been developed to allow dynamic window sizes in whole-genome association studies. Beyond scan algorithms, we have recently developed the binary and research (BiRS) algorithm, which is more computationally efficient than scan-based methods and exhibits superior stat...
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作者：Huang, Tao; Pei, Youquan; You, Jinhong; Zhang, Wenyang
作者单位：Shanghai University of Finance & Economics; Shandong University; University of Macau
摘要：The development of an appropriate statistical modelling strategy is of paramount importance for the successful analysis of data. The trade-off between flexibility and parsimony is of vital importance in statistical modelling. In the context of clustered data analysis, it is essential to account for the inherent heterogeneity between clusters while simultaneously ensuring parsimony to mitigate the potential for complexity and to preserve the homogeneity within clusters. The objective of this pa...
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作者：Stanley, Kyle; Lazar, Nicole; Reimherr, Mathew
作者单位：Pennsylvania Commonwealth System of Higher Education (PCSHE); Pennsylvania State University; Pennsylvania State University - University Park; Pennsylvania Commonwealth System of Higher Education (PCSHE); Pennsylvania State University; Pennsylvania State University - University Park
摘要：Many fMRI analyses examine functional connectivity, or statistical dependencies among remote brain regions. Factor analysis, which parsimoniously describes correlations between many observed variables, offers a natural framework in which to study such dependencies. However, multivariate factor models break down when applied to functional and spatiotemporal data, like fMRI. We present a factor model for discretely-observed multidimensional functional data that is well suited to the study of fun...
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作者：Wang, Tianying; Ionita-Laza, Iuliana; Wei, Ying
作者单位：Colorado State University System; Colorado State University Fort Collins; Columbia University; Lund University
摘要：Transcriptome-wide association studies (TWAS) are powerful tools for identifying gene-level associations by integrating genome-wide association studies and gene expression data. However, most TWAS methods focus on linear associations between genes and traits, ignoring the complex nonlinear relationships that may be present in biological systems. To address this limitation, we propose a novel framework, QTWAS, which integrates a quantilebased gene expression model into the TWAS model, allowing ...
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作者：Anakok, Emre; Barbillon, Pierre; Fontaine, Colin; Thebault, Elisa
作者单位：Universite Paris Saclay; AgroParisTech; INRAE; Museum National d'Histoire Naturelle (MNHN); Centre National de la Recherche Scientifique (CNRS); INRAE; Universite Paris-Est-Creteil-Val-de-Marne (UPEC); Universite Paris Cite; Centre National de la Recherche Scientifique (CNRS); CNRS - Institute of Ecology & Environment (INEE); Sorbonne Universite; Institut de Recherche pour le Developpement (IRD)
摘要：The structure of a bipartite interaction network can be described by providing a clustering for each of the two types of nodes. Such clusterings are outputted by fitting a latent block model (LBM) on an observed network that comes from a sampling of species interactions. However, the sampling is limited and possibly uneven. This may jeopardize the fit of the LBM and then the description of the structure of the network by detecting structures resulting from the sampling and not from actual unde...
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作者：Passino, Francesco sanna; Mantziou, Anastasia; Ghani, Daniyar; Thiede, Philip; Bevington, Ross; Heard, Nicholas a.
作者单位：Imperial College London; University of Warwick
摘要：Cyber systems are under near-constant threat from intrusion attempts. Attacks types vary, but each attempt typically has a specific underlying intent, and the perpetrators are typically groups of individuals with similar objectives. Clustering attacks appearing to share a common intent is very valuable to threat-hunting experts. This article explores Dirichlet distribution topic models for clustering terminal session commands collected from honeypots, which are special network hosts designed t...
