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作者：Schnell, Patrick M.; Papadogeorgou, Georgia
作者单位：University System of Ohio; Ohio State University; State University System of Florida; University of Florida
摘要：Confounding by unmeasured spatial variables has received some attention in the spatial statistics and causal inference literatures, but concepts and approaches have remained largely separated. In this paper we aim to bridge these distinct strands of statistics by considering unmeasured spatial confounding within a causal inference framework and estimating effects using outcome regression tools popular within the spatial literature. First, we show how using spatially correlated random effects i...
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作者：de Chaumaray, Marie Du Roy; Marbac, Matthieu; Navarro, Fabien
作者单位：Institut Polytechnique de Paris; ENSAE Paris; Ecole Nationale de la Statistique et de l'Analyse de l'Information (ENSAI)
摘要：Motivated by the analysis of accelerometer data taken across a population of individuals, we introduce a specific finite mixture of hidden Markov models with particular characteristics that adapt well to the specific nature of this type of longitudinal data. Our model allows for the computation of statistics that characterize the physical activity of a subject (e.g., the mean time spent at different activity levels and the probability of the transition between two activity levels) without spec...
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作者：Si, Yajuan; Palta, Mari; Smith, Maureen
作者单位：University of Michigan System; University of Michigan; University of Wisconsin System; University of Wisconsin Madison
摘要：Electronic health records (EHRs) are increasingly used for clinical and comparative effectiveness research but suffer from missing data. Motivated by health services research on diabetes care, we seek to increase the quality of EHRs by focusing on missing values of longitudinal glycosylated hemoglobin (A1c), a key risk factor for diabetes complications and adverse events. Under the framework of multiple imputation (MI), we propose an individualized Bayesian latent profiling approach to capture...
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作者：Yanchenko, Anna K.; Hoff, Peter D.
作者单位：Duke University
摘要：Quantification of stylistic differences between musical artists is of academic interest to the music community and is also useful for other applications, such as music information retrieval and recommendation systems. Information about stylistic differences can be obtained by comparing the performances of different artists across common musical pieces. In this article we develop a statistical methodology for identifying and quantifying systematic stylistic differences among artists that are co...
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作者：Kang, Yicheng
作者单位：Bentley University
摘要：Foreign public issuers (FPIs) are required by the Securities and Exchanges Commission (SEC) to file Form 20-F as comprehensive annual reports. In an effort to increase the usefulness of 20-Fs, the SEC recently enacted a regulation to accelerate the deadline of 20-F filing from six months to four months after the fiscal year-end. The rationale is that the shortened reporting lag would improve the informational relevance of 20-Fs. In this work we propose a jump additive model to evaluate the SEC...
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作者：Jung, Sungkyu; Foskey, Mark; Marron, J. S.
作者单位：Seoul National University (SNU); Accuray Inc.; University of North Carolina; University of North Carolina Chapel Hill
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作者：Wang, Yan; Yue, Xiaowei; Tuo, Rui; Hunt, Jeffrey H.; Shi, Jianjun
作者单位：Beijing University of Technology; Virginia Polytechnic Institute & State University; Texas A&M University System; Texas A&M University College Station; Boeing; University System of Georgia; Georgia Institute of Technology
摘要：Estimation of model parameters of computer simulators, also known as calibration, is an important topic in many engineering applications. In this paper we consider the calibration of computer model parameters with the help of engineering design knowledge. We introduce the concept of sensible (calibration) variables. Sensible variables are model parameters, which are sensitive in the engineering modeling, and whose optimal values differ from the engineering design values. We propose an effectiv...
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作者：Touloupou, Panayiota; Finkenstadt, Barbel; Besser, Thomas E.; French, Nigel P.; Spencer, Simon E. F.
作者单位：University of Warwick; Washington State University
摘要：For most pathogens, testing procedures can be used to distinguish between different strains with which individuals are infected. Due to the growing availability of such data, multistrain models have increased in popularity over the past few years. Quantifying the interactions between different strains of a pathogen is crucial in order to obtain a more complete understanding of the transmission process, but statistical methods for this type of problem are still in the early stages of developmen...
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作者：Baker, Yulia; Tang, Tiffany M.; Allen, Genevera, I
作者单位：Rice University; University of California System; University of California Berkeley; Rice University
摘要：Data integration methods that analyze multiple sources of data simultaneously can often provide more holistic insights than can separate inquiries of each data source. Motivated by the advantages of data integration in the era of big data, we investigate feature selection for high-dimensional multiview data with mixed data types (e.g., continuous, binary, count-valued). This heterogeneity of multiview data poses numerous challenges for existing feature selection methods. However, after critica...
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作者：Koslovsky, Matthew D.; Hebert, Emily T.; Businelle, Michael S.; Vannucci, Marina
作者单位：Colorado State University System; Colorado State University Fort Collins; University of Oklahoma System; University of Oklahoma - Norman; University of Oklahoma Health Sciences Center; Rice University
摘要：The integration of mobile health (mHealth) devices into behavioral health research has fundamentally changed the way researchers and interventionalists are able to collect data as well as deploy and evaluate intervention strategies. In these studies, researchers often collect intensive longitudinal data (ILD) using ecological momentary assessment methods which aim to capture psychological, emotional and environmental factors that may relate to a behavioral outcome in near real time. In order t...
