Journal of the American Statistical Association

最新文章

• Randomization inference with imperfect compliance in the ACE-inhibitor after anthracycline randomized trial AI翻译
  作者：Greevy, R; Silber, JH; Cnaan, A; Rosenbaum, PR
  作者单位：University of Pennsylvania; University of Pennsylvania; University of Pennsylvania; Pennsylvania Medicine; Childrens Hospital of Philadelphia
  摘要：Anthracyclines are quite effective at curing certain cancers of childhood, but they may damage the heart. The ACE-Inhibitor After Anthracycline (AAA) study compared enalapril to placebo in a randomized trial in an effort to determine whether treatment with enalapril would preserve or improve cardiac function among children previously treated with anthracylines. As is true in many clinical trials, patient compliance with the study protocol was imperfect: some children took less than the prescri...
• Predicting random effects from finite population clustered samples with response error AI翻译
  作者：Stanek, EJ III; Singer, JM
  作者单位：University of Massachusetts System; University of Massachusetts Amherst; Universidade de Sao Paulo
  摘要：In many situations there is interest in parameters (e.g., mean) associated with the response distribution of individual Clusters in a finite clustered population. We develop predictors of such parameters using a two-stage sampling probability model with response error. The probability model sterns directly from finite population sampling without additional assumptions, and thus is design-based. The predictors are closely related to best linear unbiased predictors (BLUP) that arise from common ...
• Membership functions and probability measures of fuzzy sets - Comment AI翻译
  作者：Dempster, AP
  作者单位：Harvard University
• Variable selection in data mining: Building a predictive model for bankruptcy AI翻译
  作者：Foster, DP; Stine, RA
  作者单位：University of Pennsylvania
  摘要：We predict the onset of personal bankruptcy using least squares regression. Although well publicized, only 2,244 bankruptcies occur in our dataset of 2.9 million months of credit-card activity. We use stepwise selection to find predictors of these from a mix of payment history. debt load. demographics, and their interactions. This combination of rare responses and over 67,000 possible predictors leads to a challenging modeling question: How does one separate coincidental from useful predictors...
• Parameterization and Bayesian modeling AI翻译
  作者：Gelman, A
  作者单位：Columbia University
  摘要：Progress in statistical computation often leads to advances in statistical modeling. For example, it is surprisingly common that an existing model is reparameterized. solely, for computational purposes, but then this new configuration motivates a new family of models that is useful in applied statistics. One reason why this phenomenon may not have been noticed in statistics is that reparameterizations do not change the likelihood. In a Bayesian framework, however, a transformation of parameter...
• Bayesian factor analysis for spatially correlated data, with application to summarizing area-level material deprivation from census data AI翻译
  作者：Hogan, JW; Tchernis, R
  作者单位：Brown University; Indiana University System; Indiana University Bloomington
  摘要：This article describes a Bayesian hierarchical model for factor analysis of spatially correlated multivariate data. The first level specifies, for each area on a map, the distribution of a vector of manifest variables conditional on an underlying latent factor; at the second level, the area-specific latent factors have a joint distribution that incorporates spatial correlation. The framework allows for both marginal and conditional (e.g., conditional autoregressive) specifications of spatial c...
• Subsampling methods to estimate the variance of sample means based on nonstationary spatial data with varying expected values AI翻译
  作者：Ekström, M; Luna, SSD
  作者单位：Umea University; Umea University
  摘要：Subsampling and block resampling methods have been suggested in the literature to nonparametrically estimate the variance of statistics computed from spatial data. Usually stationary data are required. However, in empirical applications, the assumption of stationarity often must be rejected. This article proposes nonparametric methods to estimate the variance of (functions of) sample means based on nonstationary spatial data using subsampling. We assume that data are observed on a lattice in s...
• On the statistical analysis of smoothing by maximizing dirty Markov random field posterior distributions AI翻译
  作者：Sardy, S; Tseng, P
  作者单位：Swiss Federal Institutes of Technology Domain; Ecole Polytechnique Federale de Lausanne; University of Washington; University of Washington Seattle
  摘要：We consider Bayesian nonpararnetric function estimation using a Markov random field prior based on the Laplace distribution. We describe efficient methods for finding the exact maximum a posteriori estimate, which handle constraints naturally and avoid the problems posed by nondifferentiability of the posterior distribution; the methods also make links to spline and wavelet smoothers and to a dual posterior distribution. Three automatic smoothing parameter selection procedures are described: e...
• Causal models for randomized physician encouragement trials in treating primary care depression AI翻译
  作者：Ten Have, TR; Elliott, MR; Joffe, M; Zanutto, E; Datto, C
  作者单位：University of Pennsylvania; University of Pennsylvania; University of Pennsylvania
  摘要：This article addresses unique causal issues in the context of a randomized study on improving adherence to best practice guidelines by primary care physicians (PCP's) in treating their depressed patients. The study assessed an encouragement strategy to improve PCP guideline adherence. In this context. we compare two causal approaches: the conditional-compliance (CC) Bayesian latent class and the conditional-observable (CO) structural mean model methods. The CC methods estimate contrasts betwee...
• Equivalence between conditional and mixture approaches to the Rasch model and matched case-control studies, with applications AI翻译
  作者：Rice, KM
  作者单位：MRC Biostatistics Unit
  摘要：Analyses of data using Rasch models. including the special case of matched case-control studies, are common applications of conditional likelihood in which the usual inferential procedures are applied only after conditioning on an approximately ancillary statistic. Another common approach to the analysis of Rasch models is to integrate the nuisance parameters over a mixing distribution, using the marginal likelihood obtained as the basis for inference. We show that the full conditional likelih...