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作者:Taylor, Jonathan E.; Worsley, Keith J.
作者单位:Stanford University; McGill University
摘要:Brain mapping data have been modeled as Gaussian random fields, and local increases in mean are detected by local maxima of a random field of test statistics derived from these data. Accurate p values for local maxima are readily available for isotropic data based on the expected Euler characteristic of the excursion set of the test statistic random field. In this article we give a simple method for dealing with nonisotropic data. Our approach has connections to the model of Sampson and Guttor...
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作者:Wolpert, Robert L.
作者单位:Duke University
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作者:Gelman, Andrew; Fagan, Jeffrey; Kiss, Alex
作者单位:Columbia University; Columbia University; Columbia University; Columbia University; University of Toronto; Sunnybrook Health Science Center; Sunnybrook Research Institute
摘要:Recent studies by police departments and researchers confirm that police stop persons of racial and ethnic minority groups more often than whites relative to their proportions in the population. However, it has been argued that stop rates more accurately reflect rates of crimes committed by each ethnic group, or that stop rates reflect elevated rates in specific social areas, such as neighborhoods or precincts. Most of the research on stop rates and police-citizen interactions has focused on t...
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作者:Gupta, Mayetri; Ibrahim, Joseph G.
作者单位:University of North Carolina; University of North Carolina Chapel Hill
摘要:The profusion of genomic data through genome sequencing and gene expression microarray technology has facilitated statistical research in determining gene interactions regulating a biological process. Current methods generally consist of a two-stage procedure: clustering gene expression measurements and searching for regulatory switches, typically short, conserved sequence patterns (motifs) in the DNA sequence adjacent to the genes. This process often leads to misleading conclusions as incorre...
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作者:Rappold, Ana Grohovac; Lavine, Michael; Lozier, Susan
作者单位:United States Environmental Protection Agency; Duke University; Duke University; Duke University