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作者：Xu, Gongjun; Chiou, Sy Han; Huang, Chiung-Yu; Wang, Mei-Cheng; Yan, Jun
作者单位：University of Minnesota System; University of Minnesota Twin Cities; Harvard University; Harvard T.H. Chan School of Public Health; Johns Hopkins University; Johns Hopkins Medicine; Johns Hopkins University; University of Connecticut
摘要：Recurrent event data arise frequently in various fields such as biomedical sciences, public health, engineering, and social sciences. In many instances, the observation of the recurrent event process can be stopped by the occurrence of a correlated failure event, such as treatment failure and death. In this article, we propose a joint scale-change model for the recurrent event process and the failure time, where a shared frailty variable is used to model the association between the two types o...
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作者：Kowal, Daniel R.; Matteson, David S.; Ruppert, David
作者单位：Cornell University; Cornell University
摘要：We present a Bayesian approach for modeling multivariate, dependent functional data. To account for the three dominant structural features in the data functional, time dependent, and multivariate components we extend hierarchical dynamic linear models for multivariate time series to the functional data setting. We also develop Bayesian spline theory in a more general constrained optimization framework. The proposed methods identify a time-invariant functional basis for the functional observati...
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作者：Hooten, Mevin B.; Johnson, Devin S.
作者单位：Colorado State University System; Colorado State University Fort Collins; United States Department of the Interior; United States Geological Survey; National Oceanic Atmospheric Admin (NOAA) - USA
摘要：Advances in satellite-based data collection techniques have served as a catalyst for new statistical methodology to analyze these data. In wildlife ecological studies, satellite-based data and methodology have provided a wealth of information about animal space use and the investigation of individual-based animal environment relationships. With the technology for data collection improving dramatically over time, we are left with massive archives of historical animal telemetry data of varying q...
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作者：Sun, Yifei; Wang, Mei-Cheng
作者单位：Johns Hopkins University
摘要：In follow-up studies, utility marker measurements are usually collected upon the occurrence of recurrent events until a terminal event such as death takes place. In this article, we define the recurrent marker process to characterize utility accumulation over time. For example, with medical cost and repeated hospitalizations being treated as marker and recurrent events, respectively, the recurrent marker process is the trajectory of cumulative cost, which stops to increase after death. In many...
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作者：Luo, Ruiyan; Qi, Xin
作者单位：University System of Georgia; Georgia State University; University System of Georgia; Georgia State University
摘要：We consider functional linear regression models with a functional response and multiple functional predictors, with the goal of finding the best finite-dimensional approximation to the signal part of the response function. Defining the integrated squared correlation coefficient between a random variable and a random function, we propose to solve a penalized generalized functional eigenvalue problem, whose solutions satisfy that projections on the original predictors generate new scalar uncorre...
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作者：Marra, Giampiero; Radice, Rosalba; Barnighausen, Till; Wood, Simon N.; McGovern, Mark E.
作者单位：University of London; University College London; University of London; Birkbeck University London; Harvard University; Harvard T.H. Chan School of Public Health; University of Kwazulu Natal; University of Bristol; Queens University Belfast
摘要：Estimates,of HIV prevalence are important for policy to establish the health status of a country's population and to evaluate,he effectiveness of population-based, interventions and campaigns. However, participation rates in testing for surveillance conducted as part of household surveys, on which, many of these estimates are based, can be low. HIV positive individuals may be less likely to participate because they fear disclosure, in which case estimates, obtained using conventional approache...
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作者：Strait, Justin; Kurtek, Sebastian; Bartha, Emily; MacEachern, Steven N.
作者单位：University System of Ohio; Ohio State University
摘要：Various approaches to statistical shape analysis exist in current literature. They mainly differ in the representations, metrics, and/or methods for alignment of shapes. One such approach is based on landmarks, that is, mathematically or structurally meaningful points, which ignores the remaining outline information. Elastic shape analysis, a more recent approach, attempts to fix this by using a special functional representation of the parametrically defined outline to perform shape registrati...
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作者：Zhang, Xianyang; Cheng, Guang
作者单位：Texas A&M University System; Texas A&M University College Station; Purdue University System; Purdue University
摘要：This article proposes a bootstrap-assisted procedure to conduct simultaneous inference for high-dimensional sparse linear models based on the recent desparsifying Lasso estimator. Our procedure allows the dimension of the parameter vector of interest to be exponentially larger than sample size, and it automatically accounts for the dependence within the desparsifying Lasso estimator. Moreover, our simultaneous testing method can be naturally coupled with the margin screening to enhance its pow...
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作者：Ni, Yang; Stingo, Francesco C.; Baladandayuthapani, Veerabhadran
作者单位：University of Texas System; UTMD Anderson Cancer Center; University of Texas System; University of Texas Austin; University of Florence
摘要：Multi-dimensional data constituted by measurements along multiple axes have emerged across many scientific areas such as genomics and cancer surveillance. A common objective is to investigate the conditional dependencies among the variables along each axes taking into account multi-dimensional structure of the data. Traditional multivariate approaches are unsuitable for such highly structured data due to inefficiency, loss of power, and lack of interpretability. In this article, we propose a n...
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作者：Linn, Kristin A.; Laber, Eric B.; Stefanski, Leonard A.
作者单位：University of Pennsylvania; North Carolina State University
摘要：A dynamic treatment regime is a sequence of decision rules, each of which recommends treatment based on features of-patient medical history such as past treatments and outcomes. Existing methods for estimating optimal dynamic treatment regimes from data optimize the mean of a response variable. However, the mean may not always be the most appropriate summary of performance. We derive estimators of decision rules for optimizing probabilities and quantiles computed with respect to the response d...
