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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：Li, Yicheng; Raftery, Adrian E.
作者单位：University of Washington; University of Washington Seattle
摘要：Smoking is one of the leading preventable threats to human health and a major risk factor for lung cancer, upper aerodigestive cancer and chronic obstructive pulmonary disease. Estimating and forecasting the smoking attributable fraction (SAF) of mortality can yield insights into smoking epidemics and also provide a basis for more accurate mortality and life expectancy projection. Peto et al. (Lancet 339 (1992) 1268-1278) proposed a method to estimate the SAF using the lung cancer mortality ra...
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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：Xu, Xiaofei; Chen, Ying; Chen, Cathy W. S.; Lin, Xiancheng
作者单位：National University of Singapore; Feng Chia University; University of California System; University of California Davis
摘要：This research proposes a comprehensive ALG model (Adaptive Log-linear zero-inflated Generalized Poisson integer-valued GARCH) to describe the dynamics of integer-valued time series of crime incidents with the features of autocorrelation, heteroscedasticity, overdispersion and excessive number of zero observations. The proposed ALG model captures time-varying non-linear dependence and simultaneously incorporates the impact of multiple exogenous variables in a unified modeling framework. We use ...
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作者：Zheng, Yingye; Corley, Douglas A.; Doubeni, Chyke; Halm, Ethan; Shortreed, Susan M.; Barlow, William E.; Zauber, Ann; Tosteson, Tor Devin; Chubak, Jessica
作者单位：Fred Hutchinson Cancer Center; Kaiser Permanente; Mayo Clinic; Kaiser Permanente; Cancer Research & Biostatistics; Memorial Sloan Kettering Cancer Center; Dartmouth College
摘要：The calculation of quality of care measures based on electronic medical records (EMRs) may be inaccurate because of incomplete capture of past services. We evaluate the influence of different statistical approaches for calculating the proportion of patients who are up-to-date for a preventive service, using the example of colorectal cancer (CRC) screening. We propose an extension of traditional mixture models to account for the uncertainty in compliance which is further complicated by the choi...
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作者：Uppala, Medha; Handcock, Mark S.
作者单位：University of California System; University of California Los Angeles
摘要：This paper focuses on spatial and temporal modeling of point processes on linear networks. Point processes on linear networks can simply be defined as point events occurring on or near line segment network structures embedded in a certain space. A separable modeling framework is introduced that posits separate formation and dissolution models of point processes on linear networks over time. While the model was inspired by spider web building activity in brick mortar lines, the focus is on mode...
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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：Barkley, Brian G.; Hudgens, Michael G.; Clemens, John D.; Ali, Mohammad; Emch, Michael E.
作者单位：University of North Carolina; University of North Carolina Chapel Hill; International Centre for Diarrhoeal Disease Research (ICDDR); Johns Hopkins University; University of North Carolina; University of North Carolina Chapel Hill
摘要：Understanding the population-level effects of vaccines has important public health policy implications. Inferring vaccine effects from an observational study is challenging because participants are not randomized to vaccine (i.e., treatment). Observational studies of infectious diseases present the additional challenge that vaccinating one participant may affect another participant's outcome, that is, there may be interference. In this paper recent approaches to defining vaccine effects in the...
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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
