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• FUNCTIONAL CLUSTERING FOR LONGITUDINAL ASSOCIATIONS BETWEEN SOCIAL DETERMINANTS OF HEALTH AND STROKE MORTALITY IN THE US AI翻译
  作者：Luo, Fangzhi; Tan, Jianbin; Zhang, Donglan; Huang, Hui; Shen, Ye
  作者单位：University System of Georgia; University of Georgia; Duke University; Renmin University of China; Renmin University of China
  摘要：Understanding the longitudinally changing associations between Social Determinants of Health (SDOH) and stroke mortality is essential for effective stroke management. Previous studies have uncovered significant regional disparities in the associations between SDOH and stroke mortality. However, existing studies have not utilized longitudinal associations to develop data-driven methods for regional division in stroke control. To fill this gap, we propose a novel clustering method to analyze SDO...
• VARIABLE SCREENING AND SPATIAL SMOOTHING IN FRÉCHET REGRESSION WITH APPLICATION TO DIFFUSION TENSOR IMAGING AI翻译
  作者：Yan, Lei; Zhang, Xin; Lan, Zhou; Bandyopadhyay, Dipankar; Wu, Yichao
  作者单位：State University System of Florida; Florida State University; Harvard University; Harvard University Medical Affiliates; Brigham & Women's Hospital; Harvard University; Harvard Medical School; Virginia Commonwealth University; University of Illinois System; University of Illinois Chicago; University of Illinois Chicago Hospital
  摘要：Modern applications in medical imaging often include high-dimensional predictors and spatially dependent responses in the non-Euclidean space. For example, in imaging-genetics studies, our objective is to study the relationship between single-nucleotide polymorphisms (SNPs), a high-dimensional predictor vector, and diffusion tensor imaging (DTI) responses, which are thousands to millions of voxelwise 3 x 3 symmetric positive definite (SPD) matrices. In this paper we develop a fast and pragmati...
• POISSON CLUSTER PROCESS MODELS FOR DETECTING ULTRA-DIFFUSE GALAXIES AI翻译
  作者：Li, Dayi; Stringer, Alex; Brown, Patrick e.; Eadie, Gwendolyn m.; Abraham, Roberto g.
  作者单位：University of Toronto; University of Waterloo; University of Toronto
  摘要：We propose a novel set of Poisson cluster process (PCP) models to detect ultra-diffuse galaxies (UDGs), a class of extremely faint, enigmatic galaxies of substantial interest in modern astrophysics. We model the unobserved UDG locations as parent points in a PCP and infer their positions based on the observed spatial point patterns of their old star cluster systems. Many UDGs have somewhere from a few to hundreds of these old star clusters, which we treat as offspring points in our models. We ...
• DYNAMIC PREDICTION WITH MULTIVARIATE LONGITUDINAL OUTCOMES AND LONGITUDINAL MAGNETIC RESONANCE IMAGING DATA AI翻译
  作者：Zou, Haotian; Xiao, Luo; Zeng, Donglin; Luo, Sheng
  作者单位：Duke University; North Carolina State University; University of Michigan System; University of Michigan
  摘要：Alzheimer's Disease (AD) is a common neurodegenerative disorder impairing multiple domains. Recent AD studies, for example, the Alzheimer's to better understand AD severity and progression. To facilitate precision medicine for high-risk individuals, it is essential to develop an AD predictive model that leverages multimodal data and provides accurate personalized predictions of dementia occurrences. In this article we propose a multivariate functional mixed model with longitudinal magnetic res...
• NONPARAMETRIC CAUSAL DECOMPOSITION OF GROUP DISPARITIES AI翻译
  作者：Yu, Ang; Elwert, Felix
  作者单位：University of Wisconsin System; University of Wisconsin Madison
  摘要：We introduce a new nonparametric causal decomposition approach that identifies the mechanisms by which a treatment variable contributes to a group-based outcome disparity. Our approach distinguishes three mechanisms: group differences in: (1) treatment prevalence, (2) average treatment effects, and (3) selection into treatment based on individual-level treatment effects. Our approach reformulates classic Kitagawa-Blinder-Oaxaca decompositions in causal and nonparametric terms, complements caus...
• A THREE-STATE COUPLED MARKOV SWITCHING MODEL FOR COVID-19 OUTBREAKS ACROSS QUEBEC BASED ON HOSPITAL ADMISSIONS AI翻译
  作者：Douwes-Schultz, Dirk; Schmidt, Alexandra m.; Shen, Yannan; Buckeridge, David l.
  作者单位：McGill University
  摘要：Recurrent COVID-19 outbreaks have placed immense strain on the hospital system in Quebec. We develop a Bayesian three-state coupled Markov admissions in the 30 largest hospitals. Within each catchment area, we assume the existence of three states for the disease: absence, a new state meant to account for many zeroes in some of the smaller areas; endemic and outbreak. Then we assume the disease switches between the three states in each area through a series of coupled nonhomogeneous hidden Mark...
• DESIGN-BASED INFERENCE FOR SPATIAL EXPERIMENTS UNDER UNKNOWN INTERFERENCE AI翻译
  作者：Wang, Ye; Samii, Cyrus; Chang, Haoge; Aronow, P. M.
  作者单位：University of North Carolina; University of North Carolina Chapel Hill; New York University; Columbia University; Yale University
  摘要：We consider design-based causal inference for spatial experiments in which treatments may have effects that bleed out and feed back in complex ways. Such spatial spillover effects violate the no interference assumption for standard causal inference methods. The complexity of spatial spillover effects also raises the risk of misspecification and bias in model-based analyses. We offer an approach for robust inference in such settings without having to specify a parametric outcome model. We defin...
• INFERRING MECHANISTIC PARAMETERS OF SOMATIC HYPERMUTATION USING NEURAL NETWORKS AND APPROXIMATE BAYESIAN COMPUTATION AI翻译
  作者：Fisher, Thayer; Sung, Kevin; Simon, Noah; Fukuyama, Julia; Matsen, Frederick A.
  作者单位：University of Washington; University of Washington Seattle; Fred Hutchinson Cancer Center; Indiana University System; Indiana University Bloomington
  摘要：Somatic hypermutation (SHM) is a critical enzyme-mediated process of the adaptive immune response in which antibodies acquire mutations to enhance antigen binding. Despite abundant research elucidating the biochemical basis of SHM, and substantial sequence data available for parameterization, previous computational models of SHM have not been explicitly mechanistic. In this paper we bridge this gap by developing a probabilistic latent variable model encapsulating a sequence of interacting step...
• LEVERAGING CELLPHONE-DERIVED MOBILITY NETWORKS TO ASSESS COVID-19 TRAVEL RISK AI翻译
  作者：Slater, Justin J.; Brown, Patrick E.; Rosenthal, Jeffrey S.; Mateu, Jorge
  作者单位：University of Guelph; University of Toronto; Universitat Jaume I
  摘要：Since the beginning of the Covid-19 pandemic, public health authorities across the globe have implemented policies, such as lockdowns, in an attempt to reduce population mobility and, consequently, person-to-person contacts. It is well known that lockdowns reduce mobility, but to what extent does this reduction in mobility lead to lower infection rates? In this paper we extend the endemic-epidemic modeling framework in a principled manner, incorporating temporally changing mobility network dat...
• ULTRA-SPARSE SMALL AREA ESTIMATION WITH SUPER HEAVY-TAILED PRIORS FOR INTERNAL MIGRATION FLOWS AI翻译
  作者：Fuquene-Patino, Jairo; Betancourt, Brenda
  作者单位：University of California System; University of California Davis; University of Chicago
  摘要：Migration flows represent an important component of global sustainable development and demographic trends. However, the dynamic nature of the migration phenomenon, known issues of undercoverage of administrative records and long intercensal periods make estimation of internal migration a very challenging task. In this work we focus on the estimation of internal migration in Colombia, which is the subject of an ongoing armed conflict that has triggered forced and voluntary population movements ...