Journal of the American Statistical Association

最新文章

• The Substitute for p-Values AI翻译
  作者：Briggs, William M.
  摘要：If it was not obvious before, after reading McShane and Gal, the conclusion is that p-values should be proscribed. There are no good uses for them; indeed, every use either violates frequentist theory, is fallacious, or is based on a misunderstanding. A replacement for p-values is suggested, based on predictive models.
• Semiparametric Inference in a Genetic Mixture Model AI翻译
  作者：Li, Pengfei; Liu, Yukun; Qin, Jing
  作者单位：University of Waterloo; East China Normal University; National Institutes of Health (NIH) - USA; NIH National Institute of Allergy & Infectious Diseases (NIAID)
  摘要：In genetic backcross studies, data are often collected from complex mixtures of distributions with known mixing proportions. Previous approaches to the inference of these genetic mixture models involve parameterizing the component distributions. However, model misspecification of any form is expected to have detrimental effects. We propose a semiparametric likelihood method for genetic mixture models: the empirical likelihood under the exponential tilting model assumption, in which the log rat...
• Extrinsic Local Regression on Manifold-Valued Data AI翻译
  作者：Lin, Lizhen; St Thomas, Brian; Zhu, Hongtu; Dunson, David B.
  作者单位：University of Texas System; University of Texas Austin; University of Notre Dame; Duke University; University of North Carolina; University of North Carolina Chapel Hill
  摘要：We propose an extrinsic regression framework for modeling data with manifold valued responses and Euclidean predictors. Regression with manifold responses has wide applications in shape analysis, neuroscience, medical imaging, and many other areas. Our approach embeds the manifold where the responses lie onto a higher dimensional Euclidean space, obtains a local regression estimate in that space, and then projects this estimate back onto the image of the manifold. Outside the regression settin...
• Handbook of Cluster Analysis AI翻译
  作者：Heggeseth, Brianna C.
  作者单位：Williams College
• Estimation Under Cross-Classified Sampling With Application to a Childhood Survey AI翻译
  作者：Juillard, Helene; Chauvet, Guillaume; Ruiz-Gazen, Anne
  作者单位：Ecole Nationale de la Statistique et de l'Analyse de l'Information (ENSAI); Universite de Toulouse; Universite Toulouse 1 Capitole; Toulouse School of Economics
  摘要：The cross-classified sampling design consists in drawing samples from a two-dimensional population, independently in each dimension. Such design is commonly used in consumer price index surveys and has been recently applied to draw a sample of babies in the French Longitudinal Survey on Childhood, by crossing a sample of maternity units and a sample of days. We propose to derive a general theory of estimation for this sampling design. We consider the HorvitzThompson estimator for a total, and ...
• Comment: Nonparametric Bayes Modeling of Populations of Networks AI翻译
  作者：Foti, Nicholas J.; Fox, Emily B.
  作者单位：University of Washington; University of Washington Seattle
• Comment: Nonparametric Bayes Modeling of Populations of Networks AI翻译
  作者：Handcock, Mark S.
  作者单位：University of California System; University of California Los Angeles
• Robust Treatment Comparison Based on Utilities of Semi-Competing Risks in Non-Small-Cell Lung Cancer AI翻译
  作者：Murray, Thomas A.; Thall, Peter F.; Yuan, Ying; McAvoy, Sarah; Gomez, Daniel R.
  作者单位：University of Texas System; UTMD Anderson Cancer Center; University of Texas System; UTMD Anderson Cancer Center
  摘要：A design is presented for a randomized clinical trial comparing two second-line treatments, chemotherapy versus chemotherapy plus reirradiation, for treatment of recurrent non-small-cell lung cancer. The central research question is whether the potential efficacy benefit that adding reirradiation to chemotherapy may provide justifies its potential for increasing the risk of toxicity. The design uses two co-primary outcomes: time to disease progression or death, and time to severe toxicity. Bec...
• Efficient Semiparametric Inference Under Two-Phase Sampling, With Applications to Genetic Association Studies AI翻译
  作者：Tao, Ran; Zeng, Donglin; Lin, Dan-Yu
  作者单位：Vanderbilt University; University of North Carolina; University of North Carolina Chapel Hill
  摘要：In modern epidemiological and clinical studies, the covariates of interest may involve genome sequencing, biomarker assay, or medical imaging and thus are prohibitively expensive to measure on a large number of subjects. A cost-effective solution is the two-phase design, under which the outcome and inexpensive covariates are observed for all subjects during the first phase and that information is used to select subjects for measurements of expensive covariates during the second phase. For exam...
• Modeling Spatial Covariance Using the Limiting Distribution of Spatio-Temporal Random Walks AI翻译
  作者：Hanks, Ephraim M.
  作者单位：Pennsylvania Commonwealth System of Higher Education (PCSHE); Pennsylvania State University; Pennsylvania State University - University Park
  摘要：We present an approach for modeling areal spatial covariance in observed genetic allele data by considering the stationary (limiting) distribution of a spatio-temporal Markov random walk model for gene flow. This stationary distribution corresponds to an intrinsic simultaneous autoregressive (SAR) model for spatial correlation, and provides a principled approach to specifying areal spatial models when a spatio-temporal generating process can be assumed. We apply the approach to a study of spat...