2期

最新文章

• CLUSTERING SOUTH AFRICAN HOUSEHOLDS BASED ON THEIR ASSET STATUS USING LATENT VARIABLE MODELS AI翻译
  作者：Mcparland, Damien; Gormley, Isobel Claire; Mccormick, Tyler H.; Clark, Samuel J.; Kabudula, Chodziwadziwa Whiteson; Collinson, Mark A.
  作者单位：University College Dublin; University of Washington; University of Washington Seattle; University of Washington; University of Washington Seattle; University of Witwatersrand; University of Colorado System; University of Colorado Boulder; INDEPTH Network
  摘要：The Agincourt Health and Demographic Surveillance System has since 2001 conducted a biannual household asset survey in order to quantify household socio-economic status (SES) in a rural population living in northeast South Africa. The survey contains binary, ordinal and nominal items. In the absence of income or expenditure data, the SES landscape in the study population is explored and described by clustering the households into homogeneous groups based on their asset status. A model-based ap...
• ESTIMATION IN THE PARTIALLY OBSERVED STOCHASTIC MORRIS-LECAR NEURONAL MODEL WITH PARTICLE FILTER AND STOCHASTIC APPROXIMATION METHODS AI翻译
  作者：Ditlevsen, Susanne; Samson, Adeline
  作者单位：University of Copenhagen; Universite Paris Cite; Centre National de la Recherche Scientifique (CNRS); CNRS - National Institute for Mathematical Sciences (INSMI); Communaute Universite Grenoble Alpes; Universite Grenoble Alpes (UGA)
  摘要：Parameter estimation in multidimensional diffusion models with only one coordinate observed is highly relevant in many biological applications, but a statistically difficult problem. In neuroscience, the membrane potential evolution in single neurons can be measured at high frequency, but biophysical realistic models have to include the unobserved dynamics of ion channels. One such model is the stochastic Morris-Lecar model, defined by a nonlinear two-dimensional stochastic differential equati...
• SMALL AREA ESTIMATION OF GENERAL PARAMETERS WITH APPLICATION TO POVERTY INDICATORS: A HIERARCHICAL BAYES APPROACH AI翻译
  作者：Molina, Isabel; Nandram, Balgobin; Rao, J. N. K.
  作者单位：Universidad Carlos III de Madrid; Worcester Polytechnic Institute; Carleton University
  摘要：Poverty maps are used to aid important political decisions such as allocation of development funds by governments and international organizations. Those decisions should be based on the most accurate poverty figures. However, often reliable poverty figures are not available at fine geographical levels or for particular risk population subgroups due to the sample size limitation of current national surveys. These surveys cannot cover adequately all the desired areas or population subgroups and,...
• FAST DIMENSION-REDUCED CLIMATE MODEL CALIBRATION AND THE EFFECT OF DATA AGGREGATION AI翻译
  作者：Chang, Won; Haran, Murali; Olson, Roman; Keller, Klaus
  作者单位：Pennsylvania Commonwealth System of Higher Education (PCSHE); Pennsylvania State University; Pennsylvania State University - University Park; Pennsylvania Commonwealth System of Higher Education (PCSHE); Pennsylvania State University; Pennsylvania State University - University Park
  摘要：How will the climate system respond to anthropogenic forcings? One approach to this question relies on climate model projections. Current climate projections are considerably uncertain. Characterizing and, if possible, reducing this uncertainty is an area of ongoing research. We consider the problem of making projections of the North Atlantic meridional overturning circulation (AMOC). Uncertainties about climate model parameters play a key role in uncertainties in AMOC projections. When the ob...
• VOXEL-LEVEL MAPPING OF TRACER KINETICS IN PET STUDIES: A STATISTICAL APPROACH EMPHASIZING TISSUE LIFE TABLES AI翻译
  作者：O'Sullivan, Finbarr; Muzi, Mark; Mankoff, David A.; Eary, Janet F.; Spence, Alexander M.; Krohn, Kenneth A.
  作者单位：University College Cork; University of Washington; University of Washington Seattle; University of Pennsylvania; University of Alabama System; University of Alabama Birmingham
  摘要：Most radiotracers used in dynamic positron emission tomography ( PET) scanning act in a linear time-invariant fashion so that the measured time-course data are a convolution between the time course of the tracer in the arterial supply and the local tissue impulse response, known as the tissue residue function. In statistical terms the residue is a life table for the transit time of injected radiotracer atoms. The residue provides a description of the tracer kinetic information measurable by a ...
• EFFECT OF BREASTFEEDING ON GASTROINTESTINAL INFECTION IN INFANTS: A TARGETED MAXIMUM LIKELIHOOD APPROACH FOR CLUSTERED LONGITUDINAL DATA AI翻译
  作者：Schnitzer, Mireille E.; van der Laan, Mark J.; Moodie, Erica E. M.; Platt, Robert W.
  作者单位：Universite de Montreal; University of California System; University of California Berkeley; McGill University
  摘要：The PROmotion of Breastfeeding Intervention Trial (PROBIT) cluster-randomized a program encouraging breastfeeding to new mothers in hospital centers. The original studies indicated that this intervention successfully increased duration of breastfeeding and lowered rates of gastrointestinal tract infections in newborns. Additional scientific and popular interest lies in determining the causal effect of longer breastfeeding on gastrointestinal infection. In this study, we estimate the expected i...
• STATISTICAL CALIBRATION OF QRT-PCR, MICROARRAY AND RNA-SEQ GENE EXPRESSION DATA WITH MEASUREMENT ERROR MODELS AI翻译
  作者：Sun, Zhaonan; Kuczek, Thomas; Zhu, Yu
  作者单位：Purdue University System; Purdue University
  摘要：The accurate quantification of gene expression levels is crucial for transcriptome study. Microarray platforms are commonly used for simultaneously interrogating thousands of genes in the past decade, and recently RNA-Seq has emerged as a promising alternative. The gene expression measurements obtained by microarray and RNA-Seq are, however, subject to various measurement errors. A third platform called qRT-PCR is acknowledged to provide more accurate quantification of gene expression levels t...
• ANALYSIS OF MULTIPLE SCLEROSIS LESIONS VIA SPATIALLY VARYING COEFFICIENTS AI翻译
  作者：Ge, Tian; Mueller-Lenke, Nicole; Bendfeldt, Kerstin; Nichols, Thomas E.; Johnson, Timothy D.
  作者单位：Fudan University; University of Warwick; University of Basel; University of Warwick; University of Warwick; University of Michigan System; University of Michigan
  摘要：Magnetic resonance imaging (MRI) plays a vital role in the scientific investigation and clinical management of multiple sclerosis. Analyses of binary multiple sclerosis lesion maps are typically mass univariate and conducted with standard linear models that are ill suited to the binary nature of the data and ignore the spatial dependence between nearby voxels (volume elements). Smoothing the lesion maps does not entirely eliminate the non-Gaussian nature of the data and requires an arbitrary c...
• REGULARIZED 3D FUNCTIONAL REGRESSION FOR BRAIN IMAGE DATA VIA HAAR WAVELETS AI翻译
  作者：Wang, Xuejing; Nan, Bin; Zhu, Ji; Koeppe, Robert
  作者单位：University of Michigan System; University of Michigan; University of Michigan System; University of Michigan; University of Michigan System; University of Michigan
  摘要：The primary motivation and application in this article come from brain imaging studies on cognitive impairment in elderly subjects with brain disorders. We propose a regularized Haar wavelet-based approach for the analysis of three-dimensional brain image data in the framework of functional data analysis, which automatically takes into account the spatial information among neighboring voxels. We conduct extensive simulation studies to evaluate the prediction performance of the proposed approac...