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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：Tian, Tian; Cheng, Ruihua; Wei, Zhi
作者单位：New Jersey Institute of Technology; Tianjin University of Finance & Economics
摘要：Time-course experiments are commonly conducted to capture temporal changes. It is generally of interest to detect if any changes happen over time, which we define as a detection problem. If there is a change, it is informative to know when the change is, which we define as an identification problem. It is often desired to control Type I error rate at a nominal level while applying a testing procedure to detect or identify these changes. Quite a few analytic methods have been proposed. Most exi...
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作者：Glynn, Chris; Tokdar, Surya T.; Zaman, Azeem; Caruso, Valeria C.; Mohl, Jeff T.; Willett, Shawn M.; Groh, Jennifer M.
作者单位：Duke University; Harvard University; University of Michigan System; University of Michigan; Duke University; Duke University
摘要：Conventional analysis of neuroscience data involves computing average neural activity over a group of trials and/or a period of time. This approach may be particularly problematic when assessing the response patterns of neurons to more than one simultaneously presented stimulus. In such cases the brain must represent each individual component of the stimuli bundle, but trial-and-time-pooled averaging methods are fundamentally unequipped to address the means by which multiitem representation oc...
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作者：Shan, Mingyang; Thomas, Kali S.; Gutman, Roee
作者单位：Brown University; Brown University
摘要：Causal analysis of observational studies requires data that comprise a set of covariates, a treatment assignment indicator and the observed outcomes. However, data confidentiality restrictions or the nature of data collection may distribute these variables across two or more datasets. In the absence of unique identifiers to link records across files, probabilistic record linkage algorithms can be leveraged to merge the datasets. Current applications of record linkage are concerned with estimat...
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作者：Huang, Jing; Cai, Yi; Du, Jingcheng; Li, Ruosha; Ellenberg, Susan S.; Hennessy, Sean; Tao, Cui; Chen, Yong
作者单位：University of Pennsylvania; AT&T; University of Texas System; University of Texas Health Science Center Houston; University of Texas System; University of Texas Health Science Center Houston
摘要：The Vaccine Adverse Event Reporting System (VAERS) plays a vital role in vaccine safety surveillance. One of the main missions of VAERS is to monitor increases in reporting rate of adverse events, as such signals can indicate safety issues caused by update of vaccines or change in vaccine practices. Existing methods can rarely be used to monitor the temporal variation of reporting adverse events. In this paper we propose a composite likelihood based variance component model to study the tempor...
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作者：Thaweethai, Tanayott; Arterburn, David E.; Coleman, Karen J.; Haneuse, Sebastien
作者单位：Harvard University; Harvard University Medical Affiliates; Massachusetts General Hospital; Kaiser Permanente; Kaiser Permanente; Harvard University; Harvard T.H. Chan School of Public Health
摘要：While electronic health records present a rich and promising data source for observational research, they are highly susceptible to missing data. For settings like these, Seaman et al. (Biometrics 68 (2012) 129-137) proposed a strategy wherein one handles missingness in some variables using inverse-probability weighting and others using multiple imputation. Seaman et al. (Biometrics 68 (2012) 129-137) show that Rubin's variance estimator for averaging results across datasets is asymptotically ...
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作者：Berg, Emily; Kim, Jae-Kwang
作者单位：Iowa State University
摘要：The National Resources Inventory, a longitudinal survey of characteristics related to natural resources and agriculture on nonfederal U.S. land, has increasingly received requests for substate estimates in recent years. We consider estimation of erosion in subdomains of the Boone-Raccoon River Watershed. This region is of interest for its proximity to intensively cropped areas as well as important waterbodies. The NRI application requires a small area prediction approach that can handle nonlin...
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作者：Ursino, Moreno; Roever, Christian; Zohar, Sarah; Friede, Tim
作者单位：Sorbonne Universite; Institut National de la Sante et de la Recherche Medicale (Inserm); Universite Paris Cite; University of Gottingen; UNIVERSITY GOTTINGEN HOSPITAL
摘要：Phase I dose-finding studies aim at identifying the maximum tolerated dose (MTD). Often, several dose-finding studies are conducted with some variation in the administration mode or dose panel. For instance, sorafenib (BAY 43-900) was used as monotherapy in 36 phase I trials, according to a recent clinicaltrials.gov search. Since the toxicity may not be directly related to the specific indication, synthesizing the information from several studies might be worthwhile. However, this is rarely do...
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作者：Zhao, Qingyuan; Ju, Nianqiao; Bacallado, Sergio; Shah, Rajen D.
作者单位：University of Cambridge; Harvard University
摘要：The coronavirus disease 2019 (COVID-19) has quickly grown from a regional outbreak in Wuhan, China, to a global pandemic. Early estimates of the epidemic growth and incubation period of COVID-19 may have been biased due to sample selection. Using detailed case reports from 14 locations in and outside mainland China, we obtained 378 Wuhan-exported cases who left Wuhan before an abrupt travel quarantine. We developed a generative model we call BETS for four key epidemiological events-Beginning o...
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作者：Zhang, Zhenyu; Nishimura, Akihiko; Bastide, Paul; Ji, Xiang; Payne, Rebecca P.; Goulder, Philip; Lemey, Philippe; Suchard, Marc A.
作者单位：University of California System; University of California Los Angeles; Johns Hopkins University; Johns Hopkins Bloomberg School of Public Health; Universite de Montpellier; Tulane University; Newcastle University - UK; University of Oxford; University of Kwazulu Natal; Harvard University; Massachusetts Institute of Technology (MIT); Ragon Institute; Harvard University; KU Leuven; University of California System; University of California Los Angeles; University of California System; University of California Los Angeles
摘要：Inferring concerted changes among biological traits along an evolutionary history remains an important yet challenging problem. Besides adjusting for spurious correlation induced from the shared history, the task also requires sufficient flexibility and computational efficiency to incorporate multiple continuous and discrete traits as data size increases. To accomplish this, we jointly model mixed-type traits by assuming latent parameters for binary outcome dimensions at the tips of an unknown...
