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作者：Xue, Lan; Qu, Annie; Zhou, Jianhui
作者单位：Oregon State University; University of Illinois System; University of Illinois Urbana-Champaign; University of Virginia
摘要：We consider the generalized additive model when responses from the same cluster are correlated. Incorporating correlation in the estimation of nonparametric components for the generalized additive model is important because it improves estimation efficiency and increases statistical power for model selection. In our setting, there is no specified likelihood function for the generalized additive model, because the outcomes could be nonnormal and discrete, which makes estimation and model select...
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作者：Mao, Meng; Wang, Jane-Ling
作者单位：University of California System; University of California Davis
摘要：We present a mixture cure model with the survival time of the uncured group coming from a class of linear transformation models, which is an extension of the proportional odds model This class of model. first proposed by Dabrowska and Doksum ( 988). which we term generalized proportional odds model, is well suited for the mixture cure model setting due to a clear separation between long-term and short-term effects A standard expectation-maximization algorithm can he employed to locate the nonp...
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作者：Harchaoui, Z.; Levy-Leduc, C.
作者单位：Inria; Communaute Universite Grenoble Alpes; Institut National Polytechnique de Grenoble; Universite Grenoble Alpes (UGA); Centre National de la Recherche Scientifique (CNRS); Inria; Centre National de la Recherche Scientifique (CNRS); IMT - Institut Mines-Telecom; Institut Polytechnique de Paris; Telecom Paris
摘要：We propose a new approach for dealing with the estimation of the location of change-points in one-dimensional piecewise constant signals observed in white noise. Our approach consists in reframing this task in a variable selection context. We use a penalized least-square criterion with a L-1-type penalty for this purpose. We explain how to implement this method in practice by using the LARS/LASSO algorithm. We then prove that, in an appropriate asymptotic framework, this method provides consis...
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作者：Schwartzman, Armin; Dougherty, Robert F.; Taylor, Jonathan E.
作者单位：Harvard University; Harvard T.H. Chan School of Public Health; Harvard University; Harvard University Medical Affiliates; Dana-Farber Cancer Institute; Stanford University; Stanford University
摘要：Diffusion tensor imaging (DID data differ from most medical images in that values at each voxel are not scalars, but 3 x 3 symmetric positive definite matrices called diffusion tensors (DTs). The anatomic characteristics of the tissue at each voxel are reflected by the DT eigenvalues and eigenvectors. In this article we consider the problem of testing whether the means of two groups of DT images are equal at each voxel in terms of the DT's eigenvalues, eigenvectors, or both. Because eigendecom...
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作者：Zhang, Heping; Liu, Ching-Ti; Wang, Xueqin
作者单位：Yale University; Boston University; Sun Yat Sen University; Sun Yat Sen University
摘要：In many genetics studies, especially in the investigation of mental illness and behavioral disorders, it is common for researchers to collect multiple phenotypes to characterize the complex disease of interest. It may be advantageous to analyze those phenotypic measurements simultaneously if they share a similar genetic mechanism. In this study, we present a nonparametric approach to studying multiple traits together rather than examining each trait separately. Through simulation we compared t...
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作者：Racz, Michael J.; Sedransk, J.
作者单位：Albany College of Pharmacy & Health Sciences; State University of New York (SUNY) System; University at Albany, SUNY; University System of Ohio; Case Western Reserve University
摘要：Provider profiling is the evaluation of the performance of hospitals, doctors, and other medical practitioners to enhance the quality of medical care We propose a new method and compare conventional and Bayesian methodologies that are used or proposed for use for such report cards Conventional statistical approaches to these provider assessments use likelihood-based frequentist methodologies and the new Bayesian method is patterned after these For each of three models, we compare the frequenti...
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作者：Haaland, Ben; Min, Wanli; Qian, Peter Z. G.; Amemiya, Yasuo
作者单位：National University of Singapore; Shanghai University of Finance & Economics; University of Wisconsin System; University of Wisconsin Madison; International Business Machines (IBM); IBM USA
摘要：Temperature control for a large data center is both important and expensive. On the one hand, many of the components produce a great deal of heat, and on the other hand, many of the components require temperatures below a fairly low threshold for reliable operation. A statistical framework is proposed within which the behavior of a large cooling system can be modeled and forecast under both steady state and perturbations. This framework is based upon an extension of multivariate Gaussian autor...
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作者：Hong, Hyokyoung Grace; He, Xuming
作者单位：City University of New York (CUNY) System; Baruch College (CUNY); City University of New York (CUNY) System; Baruch College (CUNY); University of Illinois System; University of Illinois Urbana-Champaign
摘要：The functional mobility of the elderly is a very important factor in aging research, and prognostic information is valuable in making clinical and health care policy decisions. We develop a predictive model for the functional status of the elderly based on data from the Second Longitudinal Study of Aging (LSOA II). The functional status is an ordinal response variable. The ordered probit model has been moderately successful in analyzing such data; however, its reliance on the normal distributi...
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作者：Sentuerk, Damla; Mueller, Hans-Georg
作者单位：Pennsylvania Commonwealth System of Higher Education (PCSHE); Pennsylvania State University; Pennsylvania State University - University Park; University of California System; University of California Davis
摘要：The proposed functional varying coefficient model provides a versatile and flexible analysis tool for relating longitudinal responses to longitudinal predictors. Specifically, this approach provides a novel representation of varying coefficient functions through suitable auto and cross-covariances of the underlying stochastic processes, which is particularly advantageous for sparse and irregular designs, as often encountered in longitudinal studies. Existing methodology for varying coefficient...
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作者：Fong, Duncan K. H.; DeSarbo, Wayne S.; Park, Joonwook; Scott, Crystal J.
作者单位：Pennsylvania Commonwealth System of Higher Education (PCSHE); Pennsylvania State University; Pennsylvania State University - University Park; Southern Methodist University; University of Michigan System; University of Michigan
摘要：Multidimensional scaling (MDS) comprises a family of geometric models for the multidimensional representation of data and a corresponding set of methods for fitting such models to actual data. In this paper, we develop a new Bayesian vector MDS model to analyze ordered successive categories preference/dominance data commonly collected in many social science and business studies. A joint spatial representation of the row and column elements of the input data matrix is provided in a reduced dime...
