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作者：Durante, Daniele; Dunson, David B.; Vogelstein, Joshua T.
作者单位：Bocconi University; Duke University; Johns Hopkins University; Johns Hopkins University
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作者：Huang, Ming-Yueh; Chiang, Chin-Tsang
作者单位：National Taiwan University
摘要：In the exploratory data analysis, the sufficient dimension reduction model has been widely used to characterize the conditional distribution of interest. Different from the existing approaches, our main achievement is to simultaneously estimate two essential elements, basis and structural dimension, of the central subspace and the bandwidth of a kernel distribution estimator through a single estimation criterion. With an appropriate order of kernel function, the proposed estimation procedure c...
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作者：Mauguen, Audrey; Zabor, Emily C.; Thomas, Nancy E.; Berwick, Marianne; Seshan, Venkatraman E.; Begg, Colin B.
作者单位：Memorial Sloan Kettering Cancer Center; University of North Carolina; University of North Carolina Chapel Hill; University of North Carolina; University of North Carolina Chapel Hill; University of New Mexico
摘要：We showcase a novel analytic strategy to identify subtypes of cancer that possess distinctive causal factors, that is, subtypes that are etiologically distinct. The method involves the integrated analysis of two types of study design: an incident series of cases with double primary cancers with detailed information on tumor characteristics that can be used to define the subtypes; a case-series of incident cases with information on known risk factors that can be used to investigate the specific...
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作者：Pena, D.; Yohai, V. J.
作者单位：Universidad Carlos III de Madrid; Universidad Carlos III de Madrid
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作者：Titsias, Michalis K.; Yau, Christopher
作者单位：Athens University of Economics & Business; University of Oxford; Wellcome Centre for Human Genetics; University of Oxford
摘要：We introduce the Hamming ball sampler, a novel Markov chain Monte Carlo algorithm, for efficient inference in statistical models involving high-dimensional discrete state spaces. The sampling scheme uses an auxiliary variable construction that adaptively truncates the model space allowing iterative exploration of the full model space. The approach generalizes conventional Gibbs sampling schemes for discrete spaces and provides an intuitive means for user-controlled balance between statistical ...
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作者：Zhao, Sihai Dave; Cai, T. Tony; Cappola, Thomas P.; Margulies, Kenneth B.; Li, Hongzhe
作者单位：University of Illinois System; University of Illinois Urbana-Champaign; University of Pennsylvania; University of Pennsylvania; University of Pennsylvania; University of Pennsylvania
摘要：Genome-wide association studies (GWAS) and differential expression analyses have had limited success in finding genes that cause complex diseases such as heart failure (HF), a leading cause of death in the United States. This article proposes a new statistical approach that integrates GWAS and expression quantitative trait loci (eQTL) data to identify important HF genes. For such genes, genetic variations that perturb its expression are also likely to influence disease risk. The proposed metho...
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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...
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作者：Alfons, Andreas; Croux, Christophe; Filzmoser, Peter
作者单位：Erasmus University Rotterdam; Erasmus University Rotterdam - Excl Erasmus MC; KU Leuven; Technische Universitat Wien
摘要：The maximum association between two multivariate variables and is defined as the maximal value that a bivariate association measure between one-dimensional projections and can attain. Taking the Pearson correlation as projection index results in the first canonical correlation coefficient. We propose to use more robust association measures, such as Spearman's or Kendall's rank correlation, or association measures derived from bivariate scatter matrices. We study the robustness of the proposed ...
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作者：Hong, Chuan; Ning, Yang; Wang, Shuang; Wu, Hao; Carroll, Raymond J.; Chen, Yong
作者单位：Harvard University; Harvard T.H. Chan School of Public Health; Cornell University; Columbia University; Emory University; Rollins School Public Health; Texas A&M University System; Texas A&M University College Station; University of Pennsylvania
摘要：Motivated by analyses of DNA methylation data, we propose a semiparametric mixture model, namely, the generalized exponential tilt mixture model, to account for heterogeneity between differentially methylated and nondifferentially methylated subjects in the cancer group, and capture the differences in higher order moments (e.g., mean and variance) between subjects in cancer and normal groups. A pairwise pseudolikelihood is constructed to eliminate the unknown nuisance function. To circumvent b...
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作者：Li, Xiaodong; He, Xu; He, Yuanzhen; Zhang, Hui; Zhang, Zhong; Lin, Dennis K. J.
作者单位：Chinese Academy of Sciences; Academy of Mathematics & System Sciences, CAS; Chinese Academy of Sciences; National Center for Nanoscience & Technology, CAS; Pennsylvania Commonwealth System of Higher Education (PCSHE); Pennsylvania State University; Pennsylvania State University - University Park
摘要：A new kind of deicing coating is developed to provide aircraft with efficient and durable protection from icing-induced dangers. The icing wind tunnel experiment is indispensable in confirming the usefulness of a deicing coating. Due to the high cost of each batch relative to the available budget, an efficient design of the icing wind tunnel experiment is crucial. The challenges in designing this experiment are multi-fold. It involves between-block factors and within-block factors, incomplete ...
