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作者：Gellar, Jonathan E.; Colantuoni, Elizabeth; Needham, Dale M.; Crainiceanu, Ciprian M.
作者单位：Johns Hopkins University; Johns Hopkins Bloomberg School of Public Health; Johns Hopkins University; Johns Hopkins University; Johns Hopkins Bloomberg School of Public Health; Johns Hopkins University; Johns Hopkins Medicine
摘要：We introduce a class of scalar-on-function regression models with subject-specific functional predictor domains. The fundamental idea is to consider a bivariate functional parameter that depends both on the functional argument and on the width of the functional predictor domain. Both parametric and nonparametric models are introduced to fit the functional coefficient. The nonparametric model is theoretically and practically invariant to functional support transformation, or support registratio...
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作者：Brynjarsdottir, Jenny; Berliner, L. Mark
作者单位：University System of Ohio; Case Western Reserve University; University System of Ohio; Ohio State University
摘要：The field of spatial and spatio-temporal statistics is increasingly faced with the challenge of very large datasets. The classical approach to spatial and spatio-temporal modeling is very computationally demanding when datasets are large, which has led to interest in methods that use dimension-reduction techniques. In this article, we focus on modeling of two spatio-temporal processes where the primary goal is to predict one process from the other and where datasets for both processes are larg...
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作者：Rizopoulos, Dimitris; Hatfield, Laura A.; Carlin, Bradley P.; Takkenberg, Johanna J. M.
作者单位：Erasmus University Rotterdam; Erasmus MC; Harvard University; University of Minnesota System; University of Minnesota Twin Cities; Erasmus University Rotterdam; Erasmus MC
摘要：The joint modeling of longitudinal and time-to-event data is an active area of statistics research that has received a lot of attention in recent years. More recently, a new and attractive application of this type of model has been to obtain individualized predictions of survival probabilities and/or of future longitudinal responses. The advantageous feature of these predictions is that they are dynamically updated as extra longitudinal responses are collected for the subjects of interest, pro...
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作者：Liu, Dungang; Liu, Regina Y.; Xie, Min-ge
作者单位：University System of Ohio; University of Cincinnati; Rutgers University System; Rutgers University New Brunswick
摘要：This article proposes a general exact meta-analysis approach for synthesizing inferences from multiple studies of discrete data. The approach combines the p-value functions (also known as significance functions) associated with the exact tests from individual studies. It encompasses a broad class of exact meta-analysis methods, as it permits broad choices for the combining elements, such as tests used in individual studies, and any parameter of interest. The approach yields statements that exp...
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作者：Wierzbicki, Michael R.; Guo, Li-Bing; Du, Qing-Tao; Guo, Wensheng
作者单位：University of Pennsylvania; Guangdong Pharmaceutical University
摘要：Traditional Chinese herbal medications (TCHMs) are composed of a multitude of compounds and the identification of their active composition is an important area of research. Chromatography provides a visual representation of a TCHM sample's composition by outputting a curve characterized by spikes corresponding to compounds in the sample. Across different experimental conditions, the location of the spikes can be shifted, preventing direct comparison of curves and forcing compound identificatio...
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作者：Chen, Huaihou; Zeng, Donglin
作者单位：State University System of Florida; University of Florida; University of North Carolina; University of North Carolina Chapel Hill
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作者：Froelich, Markus; Huber, Martin
作者单位：University of Mannheim; IZA Institute Labor Economics; University of St Gallen
摘要：This article develops a nonparametric methodology for treatment evaluation with multiple outcome periods under treatment endogeneity and missing outcomes. We use instrumental variables, pretreatment characteristics, and short-term (or intermediate) outcomes to identify the average treatment effect on the outcomes of compliers (the subpopulation whose treatment reacts on the instrument) in multiple periods based on inverse probability weighting. Treatment selection and attrition may depend on b...
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作者：Airoldi, Edoardo M.; Costa, Thiago; Bassetti, Federico; Leisen, Fabrizio; Guindani, Michele
作者单位：Harvard University; Harvard University; University of Pavia; University of Kent; University of Texas System; UTMD Anderson Cancer Center
摘要：Many popular Bayesian nonparametric priors can be characterized in terms of exchangeable species sampling sequences. However, in some applications, exchangeability may not be appropriate. We introduce a novel and probabilistically coherent family of nonexchangeable species sampling sequences characterized by a tractable predictive probability function with weights driven by a sequence of independent Beta random variables. We compare their theoretical clustering properties with those of the Dir...
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作者：Huang, Hui; Li, Yehua; Guan, Yongtao
作者单位：Peking University; Peking University; Iowa State University; University of Miami
摘要：In a cocaine dependence treatment study, we have paired binary longitudinal trajectories that record the cocaine use patterns of each patient before and after a treatment. To better understand the drug-using behaviors among the patients, we propose a general framework based on functional data analysis to jointly model and cluster these paired non-Gaussian longitudinal trajectories. Our approach assumes that the response variables follow distributions from the exponential family, with the canon...
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作者：Farah, Marian; Birrell, Paul; Conti, Stefano; De Angelis, Daniela
作者单位：MRC Biostatistics Unit; University of Cambridge; Public Health England; Health Protection Agency
摘要：In this article, we develop a Bayesian framework for parameter estimation of a computationally expensive dynamic epidemic model using time series epidemic data. Specifically, we work with a model for A/H1N1 influenza, which is implemented as a deterministic computer simulator, taking as input the underlying epidemic parameters and calculating the corresponding time series of reported infections. To obtain Bayesian inference for the epidemic parameters, the simulator is embedded in the likeliho...
