2002

最新文章

• Locally efficient estimation of a multivariate survival function in longitudinal studies AI翻译
  作者：van der Laan, MJ; Hubbard, AE; Robins, JM
  作者单位：University of California System; University of California Berkeley; Harvard University; Harvard T.H. Chan School of Public Health
  摘要：We consider estimation of the joint distribution of multivariate survival times T = (T-1,...,T-k), which are subject to right-censoring by a common censoring variable C. Two estimators are proposed: an initial inverse-probability-of-censoring weighted (IPCW) estimator and a one-step estimator. Both estimators incorporate information on available time-independent and time-dependent prognostic factor (covariate) data. The IPCW estimator is consistent and asymptotically normal (CAN) under coarsen...
• Nearest-neighbor variance estimation (NNVE): Robust covariance estimation via nearest-neighbor cleaning - Comment AI翻译
  作者：McLachlan, GJ; Hamaty, KL
  作者单位：University of Queensland
• Statistical bridges AI翻译
  作者：Scheaffer, RL
  作者单位：State University System of Florida; University of Florida
  摘要：In the information age of today, statistics is essential but statisticians are not. Yet statisticians have much to offer and must be proactive in their approaches to leaders in education, producers and users of data, the scientific community of scholars, and the public at large. Properly constructed bridges to these constituencies can convey the positive contributions of statistical thinking for all, strong academic programs in statistics, the value-added practice of statistics, and the infusi...
• A nonparametric test of gene region heterogeneity associated with phenotype AI翻译
  作者：Kowalski, J; Pagano, M; DeGruttola, V
  作者单位：Johns Hopkins University; Johns Hopkins University; Harvard University
  摘要：High-dimensional statistical problems arise in the investigation of the relationship between reduced sensitivity to antiretroviral drugs among human immunodeficiency virus-infected patients and viral genotypic patterns obtained from blood samples, This article develops a nonparametric approach for analyzing gene region heterogeneity associated with drug-resistance phenotype, The method is based on the distribution of distances between viral genetic sequences. The distance measures used are suf...
• Modeling regression error with a mixture of Polya trees AI翻译
  作者：Hanson, T; Johnson, WO
  作者单位：University of New Mexico; University of California System; University of California Davis
  摘要：We model the error distribution in the standard linear model as a mixture of absolutely continuous Polya trees constrained to have median 0. By considering a mixture, we smooth out the partitioning effects of a simple Polya tree and the predictive error density has a derivative everywhere except 0. The error distribution is centered around a standard parametric family of distributions and thus may be viewed as a generalization of standard models in which important, data-driven features, such a...
• Predictive variable selection in generalized linear models AI翻译
  作者：Meyer, MC; Laud, PW
  作者单位：University System of Georgia; University of Georgia; Medical College of Wisconsin
  摘要：Here we extend predictive method for model selection of Laud and Ibrahim to the generalized linear model. This prescription avoids the need to directly specify prior probabilities of models and prior densities for the parameters. Instead, a prior prediction for the response induces the required priors. We propose normal and conjugate priors for generalized linear models, each using a single prior prediction for the mean response to induce suitable priors for each variable-subset model. In this...
• Calibration regression of censored lifetime medical cost (vol 97, pg 318) AI翻译
  作者：Huang, YJ
• Bayesian methods for hidden Markov models: Recursive computing in the 21st century AI翻译
  作者：Scott, SL
  作者单位：University of Southern California
  摘要：Markov chain Monte Carlo (MCMC) sampling strategies can be used to simulate hidden Markov model (HMM) parameters from their posterior distribution given observed data, Some MCMC methods used in practice (for computing likelihood, conditional probabilities of hidden states, and the most likely sequence of states) can be improved by incorporating established recursive algorithms. The most important of these is a set of forward-backward recursions calculating conditional distributions of the hidd...
• Coordinate-based empirical likelihood-like estimation in III-conditioned inverse problems AI翻译
  作者：Mittelhammer, R; Judge, G; van Akkeren, M; Cardell, NS
  作者单位：Washington State University; Washington State University; University of California System; University of California Berkeley; University of California System; University of California Berkeley
  摘要：In the context of a semiparametric regression model with underlying probability distribution unspecified, an extremum estimator formulation is proposed that makes use of empirical likelihood and information theoretic estimation and inference concepts to mitigate the problem of an ill-conditioned design matrix. A squared error loss measure is used to assess estimator performance in finite samples. In large samples, the estimator can be designed to be consistent and asymptotically normal, so tha...
• Combining incompatible spatial data AI翻译
  作者：Gotway, CA; Young, LJ
  作者单位：Centers for Disease Control & Prevention - USA; University of Nebraska System; University of Nebraska Lincoln
  摘要：Global positioning systems (GPSs) and geographical information systems (GISs) have been widely used to collect and synthesize spatial data from a variety of sources, New advances in satellite imagery and remote sensing now permit scientists to access spatial data at several different resolutions. The Internet facilitates fast and easy data acquisition. In any one study, several different types of data may be collected at differing scales and resolutions, at different spatial locations, and in ...