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作者：Mason, RL
作者单位：Southwest Research Institute
摘要：The field of statistics has numerous areas of application and many positive attributes. Various companies and organizations around the world have chosen not only to adopt statistical tools, but also to integrate them into their associated work and ultimately into their decision making processes. Consequently, the value of statistics as a quantitative tool of importance to society appears to be continually increasing. In contrast, statisticians are less visible to society, and their importance ...
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作者：McCullagh, P
作者单位：University of Chicago
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作者：Serfling, R
作者单位：University of Texas System; University of Texas Dallas
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作者：Berry, SM; Berry, DA; Natarajan, K; Lin, CS; Hennekens, CH; Belder, R
作者单位：Berry Consultants, LLC; University of Texas System; UTMD Anderson Cancer Center; Bristol-Myers Squibb; Bristol-Myers Squibb; University of Miami
摘要：Both pravastatin and aspirin are approved by the U.S. Food and Drug Administration (FDA) for secondary prevention of cardiovascular events. This article describes statistical analyses used for a successful submission to the FDA that contends that copackaging pravastatin and aspirin provides a health benefit. From the efficacy perspective this is taken to mean that the combination is more effective than either agent considered alone. We present three Bayesian hierarchical survival models and ap...
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作者：Godsill, SJ; Doucet, A; West, M
作者单位：University of Cambridge; Duke University
摘要：We develop methods for performing smoothing computations in general state-space models. The methods rely on a particle representation of the filtering distributions, and their evolution through time using sequential importance sampling and resampling ideas. In particular, novel techniques are presented for generation of sample realizations of historical state sequences. This is carried out in a forward-filtering backward-smoothing procedure that can be viewed as the nonlinear, non-Gaussian cou...
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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...
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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...
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作者：De Valpine, P
作者单位：University of California System; University of California Berkeley
摘要：Maximum likelihood estimation and likelihood ratio tests for nonlinear. non-Gaussian state-space models require numerical integration for likelihood calculations. Several methods, including Monte Carlo (MC) expectation maximization, MC likelihood ratios, direct MC integration. and particle filter likelihoods. are inefficient for the motivating problem of stage-structured population dynamics models in experimental settings. An MC kernel likelihood (MCKL) method is presented that estimates class...
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作者：Eppstein, D
作者单位：University of California System; University of California Irvine
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作者：Mizera, I; Müller, CH
作者单位：University of Alberta; Carl von Ossietzky Universitat Oldenburg
摘要：This article introduces a halfspace depth in the location-scale model that is along the lines of the general theory given by Mizera, based on the idea of Rousseeuw and Hubert, and is complemented by a new likelihood-based principle for designing criterial functions. The most tractable version of the proposed depth-the Student depth-turns Out to be nothing but the bivariate halfspace depth interpreted in the Poincare plane model of the Lobachevski geometry. This fact implies many fortuitous the...
