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作者：Rad, Kamiar Rahnama; Machado, Timothy A.; Paninski, Liam
作者单位：City University of New York (CUNY) System; Baruch College (CUNY); Columbia University; Columbia University
摘要：A common analytical problem in neuroscience is the interpretation of neural activity with respect to sensory input or behavioral output. This is typically achieved by regressing measured neural activity against known stimuli or behavioral variables to produce a tuning function for each neuron. Unfortunately, because this approach handles neurons individually, it cannot take advantage of simultaneous measurements from spatially adjacent neurons that often have similar tuning properties. On the ...
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作者：Cagnone, Silvia; Giannerini, Simone; Modugno, Lucia
作者单位：University of Bologna
摘要：In this paper, we introduce a multilevel specification with stochastic volatility for repeated cross-sectional data. Modelling the time dynamics in repeated cross sections requires a suitable adaptation of the multilevel framework where the individuals/items are modelled at the first level whereas the time component appears at the second level. We perform maximum likelihood estimation by means of a nonlinear state space approach combined with Gauss-Legendre quadrature methods to approximate th...
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作者：Antonelli, Joseph; Schwartz, Joel; Kloog, Itai; Coull, Brent A.
作者单位：Harvard University; Harvard T.H. Chan School of Public Health; Ben-Gurion University of the Negev
摘要：Fine particulate matter (PM2.5) measured at a given location is a mix of pollution generated locally and pollution traveling long distances in the atmosphere. Therefore, the identification of spatial scales associated with health effects can inform on pollution sources responsible for these effects, resulting in more targeted regulatory policy. Recently, prediction methods that yield high-resolution spatial estimates of PM2.5 exposures allow one to evaluate such scale-specific associations. We...
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作者：Gao, Jiti; Peng, Bin; Ren, Zhao; Zhang, Xiaohui
作者单位：Monash University; University of Bath; Pennsylvania Commonwealth System of Higher Education (PCSHE); University of Pittsburgh; University of Exeter
摘要：Obesity has become one of the major public health issues during the last three decades. A considerable number of determinants have been proposed for body mass index (BMI) by a large range of studies from multiple disciplines. In addition, it is well documented that impacts of these determinants are varying across demographic groups. However, little is known about the relative importance of these potential determinants and the varying impacts of all relatively important determinants. Using the ...
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作者：Wang, Tao; Zhao, Hongyu
作者单位：Shanghai Jiao Tong University; Shanghai Jiao Tong University; Yale University
摘要：Compositional data arise naturally in many practical problems and the analysis of such data presents many statistical challenges, especially in high dimensions. In this article, we consider the problem of subcomposition selection in regression with compositional covariates, where the relationships among the covariates can be represented by a tree with leaf nodes corresponding to covariates. Assuming that the tree structure is available as prior knowledge, we adopt a symmetric version of the li...
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作者：Venturini, Sergio; Franklin, Jessica M.; Morlock, Laura; Dominici, Francesca
作者单位：Bocconi University; Harvard University; Harvard University Medical Affiliates; Brigham & Women's Hospital; Harvard University; Harvard Medical School; Johns Hopkins University; Harvard University; Harvard T.H. Chan School of Public Health
摘要：Medical errors are a major source of preventable morbidity, mortality and healthcare costs. Voluntary reporting systems are useful data sources that collect detailed information on the circumstances of medical errors occurring in hospitals. Identifying the characteristics of errors that frequently result in patient harm when they occur would allow investigators to prioritize among the many sources of potential errors and design targeted prevention strategies. In this paper, we use data from ME...
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作者：Zhang, Tingting; Yin, Qiannan; Caffo, Brian; Sun, Yinge; Boatman-Reich, Dana
作者单位：University of Virginia; Johns Hopkins University; Johns Hopkins University
摘要：We build a new ordinary differential equation (ODE) model for the directional interaction, also called effective connectivity, among brain regions whose activities are measured by intracranial electrocorticography (ECoG) data. In contrast to existing ODE models that focus on effective connectivity among only a few large anatomic brain regions and that rely on strong prior belief of the existence and strength of the connectivity, the proposed high-dimensional ODE model, motivated by statistical...
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作者：Thibaudeau, Yves; Slud, Eric; Gottschalck, Alfred
作者单位：University System of Maryland; University of Maryland College Park
摘要：The Survey of Income and Program Participation (SIPP) is a survey with a longitudinal structure and complex nonignorable design, for which correct estimation requires using the weights. The longitudinal setting also suggests conditional-independence relations between survey variables and early-versus late-wave employment classifications. We state original assumptions justifying an extension of the partially model-based approach of Pfeffermann, Skinner and Humphreys [J. Roy. Statist. Soc. Ser. ...
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作者：Huo, Zhiguang; Tseng, George
作者单位：Pennsylvania Commonwealth System of Higher Education (PCSHE); University of Pittsburgh; Pennsylvania Commonwealth System of Higher Education (PCSHE); University of Pittsburgh
摘要：Cancer subtypes discovery is the first step to deliver personalized medicine to cancer patients. With the accumulation of massive multi-level omics datasets and established biological knowledge databases, omics data integration with incorporation of rich existing biological knowledge is essential for deciphering a biological mechanism behind the complex diseases. In this manuscript, we propose an integrative sparse K-means (IS-Kmeans) approach to discover disease subtypes with the guidance of ...
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作者：Gromenko, Oleksandr; Kokoszka, Piotr; Sojka, Jan
作者单位：Colorado State University System; Colorado State University Fort Collins; Utah System of Higher Education; Utah State University; Utah System of Higher Education; Utah State University
摘要：We develop a statistical framework to test the hypothesis of the existence of an ionospheric cooling trend related to the global warming hypothesis; both are attributed to the same driver, namely the increased concentration of greenhouse gases. However, the study of a temporal trend in the ionosphere is easier because there are fewer covariates to be taken into account. The hypothesis that a cooling trend in the ionosphere exists has been an important focus of space physics research for over t...
