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最新文章

• Membership functions and probability measures of fuzzy sets - Comment AI翻译
  作者：Dempster, AP
  作者单位：Harvard University
• Calibrated probabilistic mesoscale weather field forecasting: The geostatistical output perturbation method - Comment AI翻译
  作者：Tebaldi, C; Nychka, D
  作者单位：National Center Atmospheric Research (NCAR) - USA
• Smooth design-adapted wavelets for nonparametric stochastic regression AI翻译
  作者：Delouille, V; Simoens, J; von Sachs, R
  作者单位：Rice University; Universite Catholique Louvain; Universite Catholique Louvain
  摘要：We treat nonparametric stochastic regression using smooth design-adapted wavelets built by means of the lifting scheme. The proposed method automatically adapts to the nature of the regression problem, that is, to the irregularity of the design, to data on the interval, and to arbitrary sample sizes (which do not need to be a power of 2). As such, this method provides a uniform solution to the usual criticisms of first-generation wavelet estimators. More precisely, starting from the unbalanced...
• Hierarchical Bayesian neural networks: An application to a prostate cancer study AI翻译
  作者：Ghosh, M; Maiti, T; Kim, D; Chakraborty, S; Tewari, A
  作者单位：State University System of Florida; University of Florida; Iowa State University; Kyungpook National University (KNU); Henry Ford Health System; Henry Ford Hospital; Henry Ford Health System; Henry Ford Hospital; Henry Ford Health System; Henry Ford Hospital
  摘要：Prostate cancer is one of the most common cancers in American men. Management depends on the staging of prostate cancer. Only cancers that are confined to organs of origin are potentially curable. The article considers a hierarchical Bayesian neural network approach for posterior prediction probabilities of certain features indicative of non-organ-confined prostate cancer. The Bayesian procedure is implemented by an application of the Markov chain Monte Carlo numerical integration technique. F...
• Full matching in an observational study of coaching for the SAT AI翻译
  作者：Hansen, BB
  作者单位：University of Michigan System; University of Michigan
  摘要：Among matching techniques for observational studies, full matching is in principle the best, in the sense that its alignment of comparable treated and control subjects is as good as that of any alternate method, and potentially much better. This article evaluates the practical performance of full matching for the first time, modifying it in order to minimize variance as well as bias and then using it to compare coached and uncoached takers of the SAT. In this new version, with restrictions on ...
• Exact and approximate inferences for nonlinear mixed-effects models with missing covariates AI翻译
  作者：Wu, L
  作者单位：University of British Columbia
  摘要：Nonlinear mixed-effects (NLME) models are popular in many longitudinal studies, including human immunodeficiency virus (HIV) viral dynamics, pharmacokinetic analyses, and studies of growth and decay. In practice, covariates in these studies often contain missing data, and so standard complete-data methods are not directly applicable. In this article we propose Monte Carlo parameter-expanded (PX)-EM algorithms for exact and approximate likelihood inferences for NLME models with missing covariat...
• New estimation and model selection procedures for semiparametric modeling in longitudinal data analysis AI翻译
  作者：Fan, JQ; Li, R
  作者单位：Princeton University; Pennsylvania Commonwealth System of Higher Education (PCSHE); Pennsylvania State University; Pennsylvania State University - University Park
  摘要：Semiparametric regression models are very useful for longitudinal data analysis. The complexity of semiparametric models and the structure of longitudinal data pose new challenges to parametric inferences and model selection that frequently arise from longitudinal data analysis. In this article, two new approaches are proposed for estimating the regression coefficients in a semiparametric model. The asymptotic normality of the resulting estimators is established. An innovative class of variabl...
• Unbiased estimating equations from working correlation models for irregularly timed repeated measures AI翻译
  作者：Wang, YG; Carey, VJ
  作者单位：Harvard University; National University of Singapore; Harvard University; Harvard University Medical Affiliates; Brigham & Women's Hospital; Harvard Medical School
  摘要：The method of generalized estimating equation-, (GEEs) has been criticized recently for a failure to protect against misspecification of working correlation models, which in some cases leads to loss of efficiency or infeasibility of solutions. However, the feasibility and efficiency of GEE methods can be enhanced considerably by using flexible families of working correlation models. We propose two ways of constructing unbiased estimating equations from general correlation models for irregularl...
• Relative risk forests for exercise heart rate recovery as a predictor of mortality AI翻译
  作者：Ishwaran, H; Blackstone, EH; Pothier, CE; Lauer, MS
  作者单位：Cleveland Clinic Foundation; Cleveland Clinic Foundation; Cleveland Clinic Foundation
  摘要：Recent studies have confirmed heart rate fall after treadmill exercise testing, or heart rate recovery, as a powerful predictor of mortality from heart disease. Heart rate recovery depends on central reactivation of vagal tone and decreased vagal activity is a risk factor for death. If heart rate recovery is defined as the fall in heart rate after I minute following peak exercise, then a heart rate recovery value of 12 beats per minute (bpm) or lower has been shown to be a good prognostic thre...