458期

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...
• 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...
• Calibration regression of censored lifetime medical cost (vol 97, pg 318) AI翻译
  作者：Huang, YJ
• 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 ...
• Sieve bootstrap with variable-length Markov chains for stationary categorical time series - Comment AI翻译
  作者：Sherman, M
  作者单位：Texas A&M University System; Texas A&M University College Station
• Estimation of waning vaccine efficacy AI翻译
  作者：Kanaan, MN; Farrington, CP
  作者单位：Open University - UK
  摘要：Whether the protection afforded by a vaccine wanes over time and if so, by how much, are important public health questions with implications for mass immunization programs. However, the measurement of such effects is fraught with difficulties. Generally, clinical trials are too short to provide evidence on waning effects. Thus it is necessary to rely on epidemiologic data, which are subject to ascertainment bias. Furthermore, standard epidemiologic, measures, such as hazard ratios, may not acc...
• Nonseparable, stationary covariance functions for space-time data AI翻译
  作者：Gneiting, T
  作者单位：University of Washington; University of Washington Seattle
  摘要：Geostatistical approaches to spatiotemporal prediction in environmental science, climatology, meteorology. and related fields rely on appropriate covariance models. This article proposes general classes of nonseparable, stationary covariance functions for spatiotemporal random processes, The constructions are directly in the space-time domain and do not depend on closed-form Fourier inversions. The model parameters can be associated with the data's spatial and temporal structures, respectively...
• Testing and locating variance changepoints with applications to stock prices (vol 92, pg 738) AI翻译
  作者：Jandhyala, VK; Hawkins, DM; Fotopoulos, SB
  作者单位：Washington State University; Washington State University; University of Minnesota System; University of Minnesota Twin Cities; Washington State University; Washington State University
• Semiparametric mixed-effects models for clustered failure time data AI翻译
  作者：Cai, T; Cheng, SC; Wei, LJ
  作者单位：University of Washington; University of Washington Seattle; Texas A&M University System; Texas A&M University College Station; Harvard University; Harvard T.H. Chan School of Public Health
  摘要：The Cox proportional hazards model with a random effect has been proposed for the analysis of data which consist of a large number of small clusters of correlated failure time observations. The class of linear transformation models provides many useful alternatives to the Cox model for analyzing univariate failure time data. In this article, we generalize these models by incorporating random effects, which generate the dependence among the failure times within the cluster, to handle correlated...
• Model-based clustering, discriminant analysis, and density estimation AI翻译
  作者：Fraley, C; Raftery, AE
  作者单位：University of Washington; University of Washington Seattle
  摘要：Cluster analysis is the automated search for groups of related observations in a dataset. Most clustering done in practice is based largely on heuristic but intuitively reasonable procedures, and most clustering methods available in commercial software are also of this type. However, there is little systematic guidance associated with these methods for solving important practical questions that arise in cluster analysis, such as how many clusters are there, which clustering method should be us...