Journal of the American Statistical Association

最新文章

• Adaptive thresholds: Monitoring streams of network counts AI翻译
  作者：Lambert, D; Liu, CH
  摘要：This article describes a fast, statistically principled method for monitoring streams of network counts, which have long-term trends, rough cyclical patterns, outliers, and missing data. The key step is to build a reference (predictive) model for the counts that captures their complex, salient features but has just a few parameters that can be kept up-to-date as the counts flow by, without requiring access to past data. This article justifies using a negative binomial reference distribution wi...
• Focused information criteria and model averaging for the Cox hazard regression model AI翻译
  作者：Hjort, Nils Lid; Claeskens, Gerda
  作者单位：University of Oslo; Universite Catholique Louvain; Universite Catholique Louvain
  摘要：This article is concerned with variable selection methods for the Cox proportional hazards regression model. Including excessive covariates causes extra variability and inflated confidence intervals for regression parameters; thus regimes for discarding the less informative ones are needed. Our framework has p covariates designated as protected, while variables from a further set of q covariates are examined for possible inclusion or exclusion. We develop a focused information criterion (FIC) ...
• Quality control and robust estimation for cDNA microarrays with replicates AI翻译
  作者：Gottardo, R; Raftery, AE; Yeung, KY; Bumgarner, RE
  作者单位：University of British Columbia; University of Washington; University of Washington Seattle; University of Washington; University of Washington Seattle
  摘要：We consider robust estimation of gene intensities from cDNA microarray data with replicates. Several statistical methods for estimating gene intensities from microarrays have been proposed, but little work has been done on robust estimation. This is particularly relevant for experiments with replicates, because even one outlying replicate can have a disastrous effect on the estimated intensity for the gene concerned. Because of the many steps involved in the experimental process from hybridiza...
• Causal vaccine effects on binary postinfection outcomes AI翻译
  作者：Hudgens, MG; Halloran, ME
  作者单位：University of North Carolina; University of North Carolina Chapel Hill; Emory University
  摘要：The effects of vaccine on postinfection outcomes, such as disease, death, and secondary transmission to others. are important scientific and public health aspects of prophylactic vaccination. As a result, evaluation of many vaccine effects condition on being infected. Conditioning on an event that occurs posttreatment (in our case, infection subsequent to assignment to vaccine or control) can result in selection bias. Moreover, because the set of individuals who would become infected if vaccin...
• Algorithms for constructing combined strata variance estimators AI翻译
  作者：Lu, Wilson W.; Brick, J. Michael; Sitter, Randy R.
  作者单位：Westat; Simon Fraser University
  摘要：A jackknife or balanced repeated replication variance estimator in a large survey typically requires a large number of replicates and replicate weights. Reducing the number of replicates may have important advantages for computations and for limiting the risk of data disclosure from public use data files. This article proposes algorithms adapted from scheduling theory to combine variance strata and, thus, reduce the number of replicates. The algorithms are simple and efficient and can be adapt...
• Inference on the number of species through geometric lower bounds AI翻译
  作者：Mao, Chang Xuan
  作者单位：University of California System; University of California Riverside
  摘要：Estimating the number of species in a population from a sample of individuals is investigated in a nonparametric Poisson mixture model. A sequence of lower bounds to the odds that a species is unseen in the sample are proposed from a geometric perspective. A lower bound and its representing mixing distribution can be computed by linear programming with guaranteed convergence. These lower bounds can be estimated by the maximum likelihood method and used to construct lower confidence limits for ...
• Estimation in multiple-frame surveys AI翻译
  作者：Lohr, Sharon; Rao, J. N. K.
  作者单位：Arizona State University; Arizona State University-Tempe; Carleton University
  摘要：Multiple-frame surveys are commonly used to decrease costs of sampling or to reduce undercoverage that could occur if only one sampling frame were used. We describe potential uses and examples of multiple-frame surveys. We then derive optimal linear estimators and pseudomaximum likelihood estimators for the population total when samples are taken independently from each frame using probability sampling designs. We explore the properties of these estimators theoretically and through a simulatio...
• Doubly robust estimation of the area under the receiver-operating characteristic curve in the presence of verification bias AI翻译
  作者：Rotnitzky, Andrea; Faraggi, David; Schisterman, Enrique
  作者单位：Universidad Torcuato Di Tella; Harvard University; Harvard T.H. Chan School of Public Health; University of Haifa; National Institutes of Health (NIH) - USA; NIH Eunice Kennedy Shriver National Institute of Child Health & Human Development (NICHD)
  摘要：The area under the receiver operating characteristic curve (AUC) is a popular summary measure of the efficacy of a medical diagnostic test to discriminate between healthy and diseased subjects. A frequently encountered problem in studies that evaluate a new diagnostic test is that not all patients undergo disease verification because the verification test is expensive, invasive, or both. Furthermore, the decision to send patients to verification often depends on the new test and on other predi...
• Bayesian wombling: Curvilinear gradient assessment under spatial process models AI翻译
  作者：Banerjee, Sudipto; Gelfand, Alan E.
  作者单位：University of Minnesota System; University of Minnesota Twin Cities; Duke University
  摘要：Large-scale inference for random spatial surfaces over a region using spatial process models has been well studied. Under such models, local analysis of the surface (e.g., gradients at given points) has received recent attention. A more ambitious objective is to move from points to curves, to attempt to assign a meaningful gradient to a curve. For a point, if the gradient in a particular direction is large (positive or negative), then the surface is rapidly increasing or decreasing in that dir...
• Generalized poststratification and importance sampling for subsampled Markov chain Monte Carlo estimation AI翻译
  作者：Guha, Subharup; MacEachern, Steven N.
  作者单位：University System of Ohio; Ohio State University
  摘要：Benchmark estimation is motivated by the goal of producing an approximation to a posterior distribution that is better than the empirical distribution function. This is accomplished by incorporating additional information into the construction of the approximation. We focus here on generalized poststratification, the most successful implementation of benchmark estimation in our experience. We develop generalized poststratification for settings where the source of the simulation differs from th...