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作者：Kent, Sean; Yu, Menggang
作者单位：University of Wisconsin System; University of Wisconsin Madison; University of Michigan System; University of Michigan
摘要：The surroundings of a cancerous tumor impact how it grows and develops in humans. New data from early breast cancer patients contains information on the collagen fibers surrounding the tumorous tissue-offering hope of finding additional biomarkers for diagnosis and prognosis-but poses two challenges for typical analysis. Each image section contains information on hundreds of fibers, and each tissue has multiple image sections contributing to a single prediction of tumor vs. nontumor. This nest...
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作者：Qi, Kai; Hu, Guanyu; Wu, Wei
作者单位：Microsoft; University of Texas System; University of Texas Health Science Center Houston; State University System of Florida; Florida State University
摘要：In this paper we develop a novel depth-based testing procedure on spatial point processes to examine the difference in made and missed field goal attempts for NBA players. Specifically, our testing procedure can statistically detect the differences between made and missed field goal attempts for NBA players. We first obtain the depths of two processes under the polar coordinate system. A two-dimensional Kolmogorov-Smirnov test is then performed to test the difference between the depths of the ...
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作者：Lee, Hana; Qiu, Yumou; Carriquiry, Alicia; Ommen, Danica
作者单位：Iowa State University; Iowa State University; Peking University
摘要：We consider matching problems where the goal is to determine whether two observations randomly drawn from a population with multiple (sub)groups are from the same (sub)group. This is a key question in forensic science, where items with unidentified origins from suspects and crime scenes are compared to objects from a known set of sources to see if they originated from the same source. We derive the optimal matching rule under known density functions of data that minimizes the decision error pr...
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作者：Liu, Mengque; Fan, Xinyan; Ma, Shuangge
作者单位：Xi'an Jiaotong University; Renmin University of China; Renmin University of China; Yale University
摘要：Online health communities (OHCs) provide free, open, and wellresourced platforms for patients, family members, and others to discuss illnesses, express feelings, and connect with others. Linguistic analysis of OHC posts can assist in better understanding disease conditions as well as monitoring the emotional and mental status of patients and those who are closely related. Many existing OHC linguistic analyses are limited by focusing on individual words. There are a handful of cooccurrence netw...
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作者：Sun, Jiehuan; Liao, Katherine P.; Cai, Tianxi
作者单位：University of Illinois System; University of Illinois Chicago; University of Illinois Chicago Hospital; Harvard University; Harvard University Medical Affiliates; Brigham & Women's Hospital; Harvard University; Harvard T.H. Chan School of Public Health
摘要：Knowledge networks, such as the healthcare delivery network (HDN), describing relationships among different medical encounters, are useful summaries of state-of-art medical knowledge. The increasing availability of longitudinal electronic health records (EHR) data promises a rich data source for learning HDN. Most existing methods for inferring knowledge networks are based on cooccurrence patterns that do not account for temporal effects or patient-level heterogeneity. In this article, buildin...
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作者：Bayer, Damon; Goldstein, Isaac H.; Fintzi, Jonathan; Lumbard, Keith; Ricotta, Emily; Warner, Sarah; Strich, Jeffrey R.; Chertow, Daniel S.; Busch, Lindsay M.; Parker, Daniel M.; Boden-Albala, Bernadette; Chhuon, Richard; Zahn, Matthew; Quick, Nichole; Dratch, Alissa; Minin, Volodymyr M.
作者单位：University of California System; University of California Irvine; National Institutes of Health (NIH) - USA; NIH National Institute of Allergy & Infectious Diseases (NIAID); National Institutes of Health (NIH) - USA; NIH National Cancer Institute (NCI); Frederick National Laboratory for Cancer Research; National Institutes of Health (NIH) - USA; NIH National Institute of Allergy & Infectious Diseases (NIAID); National Institutes of Health (NIH) - USA; NIH Clinical Center (CC); Emory University; University of California System; University of California Irvine; Los Angeles County Department of Public Health; Edwards Lifesciences
摘要：Mechanistic models fit to streaming surveillance data are critical for understanding the transmission dynamics of an outbreak as it unfolds in realtime. However, transmission model parameter estimation can be imprecise, sometimes even impossible, because surveillance data are noisy and not informative about all aspects of the mechanistic model. To partially overcome this obstacle, Bayesian models have been proposed to integrate multiple surveillance data streams. We devised a modeling framewor...
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作者：Hauser, Paloma; Tan, Xianming; Chen, Fang; Chen, Ronald c.; Ibrahim, Joseph g.
作者单位：University of North Carolina; University of North Carolina Chapel Hill; University of North Carolina School of Medicine; SAS Institute Inc; University of Kansas
摘要：In routine cancer care, various patient- and clinician-reported symptoms are collected throughout treatment. This informs a crucial part of clinical research, particularly in studying the factors associated with symptom underascertainment. To jointly analyze such discrete, multivariate, and potentially high-dimensional repeated measures, we propose a Bayesian longitudinal generalized linear mixed model (BLGLMM). This model integrates three key methodologies: a low-rank matrix decomposition to ...
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作者：Chen, Yewen; Chang, Xiaohui; Zhang, Bohai; Huang, Hui
作者单位：University System of Georgia; University of Georgia; Oregon State University; Beijing Normal-Hong Kong Baptist University; Renmin University of China; Renmin University of China
摘要：Numerical air quality models, such as the Community Multiscale Air Quality (CMAQ) system, play a critical role in characterizing pollution levels at fine spatial and temporal scales. The model outputs, however, tend to systematically over- or underestimate the real pollutant concentrations. In this study we propose a Bayesian hierarchical dynamic model to calibrate largescale grid-level CMAQ model outputs using data from other sources, especially point-level observations from sparsely located ...
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作者：Jun, Mikyoung; Cook, Scott
作者单位：University of Houston System; University of Houston; Texas A&M University System; Texas A&M University College Station; Bush School of Government & Public Service
摘要：We develop flexible multivariate spatiotemporal Hawkes process models to analyze patterns of terrorism. Previous applications of point process methods to political violence data mainly utilize temporal Hawkes process models, neglecting spatial variation in these attack patterns. This limits what can be learned from these models, as any effective counter -terrorism strategy requires knowledge on both when and where attacks are likely to occur. Even the existing work on spatiotemporal Hawkes pro...
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作者：Sun, Jiehuan; Basu, Sanjib
作者单位：University of Illinois System; University of Illinois Chicago; University of Illinois Chicago Hospital
摘要：High-dimensional biomarkers, such as gene expression profiles, are often collected longitudinally to monitor disease progression in clinical studies, where the primary endpoint of interest is often a survival outcome. It is of great interest to study the associations between high-dimensional longitudinal biomarkers and the survival outcome as well as to identify biomarkers related to the survival outcome. Joint models, which have been extensively studied in the past decades, are commonly used ...
