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作者：Wang, Y. Samuel; Matsueda, Ross L.; Erosheva, Elena A.
作者单位：University of Washington; University of Washington Seattle; University of Washington; University of Washington Seattle
摘要：In this article, we consider modeling ranked responses from a heterogeneous population. Specifically, we analyze data from the Eurobarometer 34.1 survey regarding public policy preferences toward drugs, alcohol, and AIDS. Such policy preferences are likely to exhibit substantial differences within as well as across European nations reflecting a wide variety of cultures, political affiliations, ideological perspectives, and common practices. We use a mixed membership model to account for multip...
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作者：Zhu, Xiang; Stephens, Matthew
作者单位：University of Chicago; University of Chicago
摘要：Bayesian methods for large-scale multiple regression provide attractive approaches to the analysis of genome-wide association studies (GWAS). For example, they can estimate heritability of complex traits, allowing for both polygenic and sparse models; and by incorporating external genomic data into the priors, they can increase power and yield new biological insights. However, these methods require access to individual genotypes and phenotypes, which are often not easily available. Here we pro...
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作者：Tak, Hyungsuk; Mandel, Kaisey; Van Dyk, David A.; Kashyap, Vinay L.; Meng, Xiao-Li; Siemiginowska, Aneta
作者单位：Smithsonian Astrophysical Observatory; Smithsonian Institution; Harvard University; Harvard University; Imperial College London
摘要：The gravitational field of a galaxy can act as a lens and deflect the light emitted by a more distant object such as a quasar. Strong gravitational lensing causes multiple images of the same quasar to appear in the sky. Since the light in each gravitationally lensed image traverses a different path length from the quasar to the Earth, fluctuations in the source brightness are observed in the several images at different times. The time delay between these fluctuations can be used to constrain c...
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作者：Kuusela, Mikael; Stark, Philip B.
作者单位：Swiss Federal Institutes of Technology Domain; Ecole Polytechnique Federale de Lausanne; University of California System; University of California Berkeley; University of Chicago
摘要：The high energy physics unfolding problem is an important statistical inverse problem in data analysis at the Large Hadron Collider (LHC) at CERN. The goal of unfolding is to make nonparametric inferences about a particle spectrum from measurements smeared by the finite resolution of the particle detectors. Previous unfolding methods use ad hoc discretization and regularization, resulting in confidence intervals that can have significantly lower coverage than their nominal level. Instead of re...
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作者：Alkema, Leontine; Zhang, Sanqian; Chou, Doris; Gemmill, Alison; Moller, Ann-Beth; Fat, Doris Ma; Say, Lale; Mathers, Colin; Hogan, Daniel
作者单位：University of Massachusetts System; University of Massachusetts Amherst; Harvard University; World Health Organization; World Health Organization; University of California System; University of California Berkeley
摘要：The maternal mortality ratio (MMR) is defined as the number of maternal deaths in a population per 100,000 live births. Country-specific MMR estimates are published on a regular basis by the United Nations Maternal Mortality Estimation Inter-agency Group (UN MMEIG) to track progress in reducing maternal deaths and were used to evaluate regional and national performance related to Millennium Development Goal (MDG) 5, which called for a 75% reduction in the MMR between 1990 and 2015. Until 2014,...
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作者：Wang, Jue; Luo, Sheng; Li, Liang
作者单位：University of Texas System; University of Texas Health Science Center Houston; University of Texas System; UTMD Anderson Cancer Center
摘要：In many clinical trials studying neurodegenerative diseases such as Parkinson's disease (PD), multiple longitudinal outcomes are collected to fully explore the multidimensional impairment caused by this disease. If the outcomes deteriorate rapidly, patients may reach a level of functional disability sufficient to initiate levodopa therapy for ameliorating disease symptoms. An accurate prediction of the time to functional disability is helpful for clinicians to monitor patients' disease progres...
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作者：Yen, Tso-Jung; Lee, Zong-Rong; Chen, Yi-Hau; Yen, Yu-Min; Hwang, Jing-Shiang
作者单位：Academia Sinica - Taiwan; Academia Sinica - Taiwan; National Chengchi University
摘要：In this paper we develop a statistical method for identifying links of a network from time to event data. This method models the hazard function of a node conditional on event time of other nodes, parameterizing the conditional hazard function with the links of the network. It then estimates the hazard function by maximizing a pseudo partial likelihood function with parameters subject to a user-specified penalty function and additional constraints. To make such estimation robust, it adopts a p...
