Journal of the American Statistical Association

最新文章

• Combining information from two surveys to estimate county-level prevalence rates of cancer risk factors and screening AI翻译
  作者：Raghunathan, Trivellore E.; Xie, Dawei; Schenker, Nathaniel; Parsons, Van L.; Davis, William W.; Dodd, Kevin W.; Feuer, Eric J.
  作者单位：University of Michigan System; University of Michigan; University of Pennsylvania; Centers for Disease Control & Prevention - USA; CDC National Center for Health Statistics (NCHS); National Institutes of Health (NIH) - USA; NIH National Cancer Institute (NCI); NIH Division of Cancer Control & Population Sciences
  摘要：Cancer surveillance research requires estimates of the prevalence of cancer risk factors and screening for small areas such as counties. Two popular data sources are the Behavioral Risk Factor Surveillance System (BRFSS), a telephone survey conducted by state agencies, and the National Health Interview Survey (NHIS), an area probability sample survey conducted through face-to-face interviews. Both data sources have advantages and disadvantages. The BRFSS is a larger survey and almost every cou...
• High-dimension, low-sample size perspectives in constrained statistical inference: The SARSCoV RNA genome in illustration AI翻译
  作者：Sen, Pranab K.; Tsai, Ming-Tien; Jou, Yuh-Shan
  作者单位：University of North Carolina; University of North Carolina Chapel Hill; University of North Carolina; University of North Carolina Chapel Hill
  摘要：High-dimensional categorical data models, often with inadequately large sample sizes, crop up in many fields of application. The SARS epidemic, originating in southern China in 2002, had an identified single-stranded and positive-sense RNA virus with large genome size and moderate mutation rate. The present genomic study is used as a prime illustration for motivating appropriate statistical methodology for comprehending the genomic variation in such high-dimensional categorical data models. Be...
• Minimum area confidence set optimality for confidence bands in simple linear regression AI翻译
  作者：Liu, W.; Hayter, A. J.
  作者单位：University of Southampton; University of Denver
  摘要：The average width of a simultaneous confidence band has been used by several authors (e.g., Naiman and Piegorsch) as a criterion for the comparison of different confidence bands. In this article the area of the confidence set that corresponds to a confidence band is used as a new criterion. For simple linear regression, comparisons have been carried out under this new criterion between hyperbolic bands, two-segment bands, and three-segment bands, which include constant width bands as special c...
• Empirical likelihood inference in nonlinear errors-in-covariables models with validation data AI翻译
  作者：Stute, Winfried; Xue, Liugen; Zhu, Lixing
  作者单位：Justus Liebig University Giessen; Beijing University of Technology; Hong Kong Baptist University; Renmin University of China
  摘要：In this article we study inference in parametric-nonparametric errors-in-covariables regression models using an empirical likelihood approach based on validation data. It is shown that the asymptotic behavior of the proposed estimator depends on the ratio of the sizes of the primary sample and the validation sample, respectively. Unlike cases without measurement errors, the limit distribution of the estimator is no longer tractable and cannot be used for constructing confidence regions. Monte ...
• Rejoinder AI翻译
  作者：Tian, Lu; Liu, Jun; Wei, L. J.
  作者单位：Northwestern University; Harvard University
• Gait-based human recognition by classification of cyclostationary processes on nonlinear shape manifolds - Comment AI翻译
  作者：Mardia, Kanti V.
  作者单位：University of Leeds
• Untitled AI翻译
  作者：Kalbfleisch, John D.; Jiang, Wenyu
  作者单位：University of Michigan System; University of Michigan; Concordia University - Canada
• Spatiotemporal models for region of interest analyses of functional neuroimaging data AI翻译
  作者：DuBois Bowman, F.
  作者单位：Emory University; Rollins School Public Health
  摘要：In vivo functional neuroimaging technology enables the evaluation of behavior-related changes in measured brain activity within specific cortical regions of interest (ROIs). When sufficient neurophysiologic evidence exists to restrict attention to a defined cortical region, an ROI analysis can provide powerful insights regarding neural representations of cognition. emotions. behaviors, and the neuropathology of psychiatric disorders. Given the complexity and abundance of data from neuroimaging...
• Robust model-based and model-assisted predictors of the finite population total AI翻译
  作者：Li, Yan; Lahiri, P.
  作者单位：University System of Maryland; University of Maryland College Park; National Institutes of Health (NIH) - USA; NIH National Cancer Institute (NCI)
  摘要：The prediction approach to finite population inference has received considerable attention in recent years. Under this approach, the finite population is assumed to be a realization from a superpopulation described by a known probability model, usually a linear model. The prediction approach is often criticized for its lack of robustness against model misspecification. In this article we revisit this important issue and introduce a new robust prediction approach in which the superpopulation mo...
• Model-assisted estimation of forest resources with generalized additive models - Rejoinder AI翻译
  作者：Opsomer, Jean D.; Breidt, F. Jay; Moisen, Gretchen G.; Kauermann, Gran
  作者单位：Iowa State University; Colorado State University System; Colorado State University Fort Collins; United States Department of Agriculture (USDA); United States Forest Service; University of Bielefeld