Journal of the American Statistical Association

最新文章

• Evaluating the Effect of Training on Wages in the Presence of Noncompliance, Nonemployment, and Missing Outcome Data AI翻译
  作者：Frumento, Paolo; Mealli, Fabrizia; Pacini, Barbara; Rubin, Donald B.
  作者单位：Karolinska Institutet; University of Florence; University of Pisa; Harvard University
  摘要：The effects of a job training program, Job Corps, on both employment and wages are evaluated using data from a randomized study. Principal stratification is used to address, simultaneously, the complications of noncompliance, wages that are only partially defined because of nonemployment, and unintended missing outcomes. The first two complications are of substantive interest, whereas the third is a nuisance. The objective is to find a parsimonious model that can be used to inform public polic...
• Topological Analysis of Variance and the Maxillary Complex AI翻译
  作者：Heo, Giseon; Gamble, Jennifer; Kim, Peter T.
  作者单位：University of Alberta; North Carolina State University; University of Guelph
  摘要：It is common to reduce the dimensionality of data before applying classical multivariate analysis techniques in statistics. Persistent homology, a recent development in computational topology, has been shown to be useful for analyzing high-dimensional (nonlinear) data. In this article, we connect computational topology with the traditional analysis of variance and demonstrate the value of combining these approaches on a three-dimensional orthodontic landmark dataset derived from the maxillary ...
• DD-Classifier: Nonparametric Classification Procedure Based on DD-Plot AI翻译
  作者：Li, Jun; Cuesta-Albertos, Juan A.; Liu, Regina Y.
  作者单位：University of California System; University of California Riverside; Universidad de Cantabria; Rutgers University System; Rutgers University New Brunswick
  摘要：Using the DD-plot (depth vs. depth plot), we introduce a new nonparametric classification algorithm and call it DD-classifier. The algorithm is completely nonparametric, and it requires no prior knowledge of the underlying distributions or the form of the separating curve. Thus, it can be applied to a wide range of classification problems. The algorithm is completely data driven and its classification outcome can be easily visualized in a two-dimensional plot regardless of the dimension of the...
• Interim Design Modifications in Time-to-Event Studies AI翻译
  作者：Irle, Sebastian; Schaefer, Helmut
  作者单位：Philipps University Marburg
  摘要：We propose a flexible method for interim design modifications in time-to-event studies. With this method, it is possible to inspect the data at any time during the course of the study, without the need for prespecification of a learning phase, and to make certain types of design modifications depending on the interim data without compromising the Type I error risk. The method can be applied to studies designed with a conventional statistical test, fixed sample, or group sequential, even when n...
• Evaluating the Effect of Early Versus Late ARV Regimen Change if Failure on an Initial Regimen: Results From the AIDS Clinical Trials Group Study A5095 AI翻译
  作者：Li, Li; Eron, Joseph J.; Ribaudo, Heather; Gulick, Roy M.; Johnson, Brent A.
  作者单位：Emory University; University of North Carolina; University of North Carolina Chapel Hill; Harvard University; Cornell University; Weill Cornell Medicine
  摘要：The current goal of initial antiretroviral (ARV) therapy is suppression of plasma human immunodeficiency virus (HIV)-1 RNA levels to below 200 copies per milliliter. A proportion of HIV-infected patients who initiate antiretroviral therapy in clinical practice or antiretroviral clinical trials either fail to suppress HIV-1 RNA or have HIV-1 RNA levels rebound on therapy. Frequently, these patients have sustained CD4 cell counts responses and limited or no clinical symptoms and, therefore, have...
• Multiple Imputation for M-Regression With Censored Covariates AI翻译
  作者：Wang, Huixia Judy; Feng, Xingdong
  作者单位：North Carolina State University; Shanghai University of Finance & Economics
  摘要：We develop a new multiple imputation approach for M-regression models with censored covariates. Instead of specifying parametric likelihoods, our method imputes the censored covariates by their conditional quantiles given the observed data, where the conditional quantiles are estimated through fitting a censored quantile regression process. The resulting estimator is shown to be consistent and asymptotically normal, and it improves the estimation efficiency by using information from cases with...
• Vast Portfolio Selection With Gross-Exposure Constraints AI翻译
  作者：Fan, Jianqing; Zhang, Jingjin; Yu, Ke
  作者单位：Princeton University; Shanghai University of Finance & Economics
  摘要：This article introduces the large portfolio selection using gross-exposure constraints. It shows that with gross-exposure constraints, the empirically selected optimal portfolios based on estimated covariance matrices have similar performance to the theoretical optimal ones and there is no error accumulation effect from estimation of vast covariance matrices. This gives theoretical justification to the empirical results by Jagannathan and Ma. It also shows that the no-short-sale portfolio can ...
• Bayesian Spatio-Dynamic Modeling in Cell Motility Studies: Learning Nonlinear Taxic Fields Guiding the Immune Response AI翻译
  作者：Manolopoulou, Ioanna; Matheu, Melanie P.; Cahalan, Michael D.; West, Mike; Kepler, Thomas B.
  作者单位：Duke University; University of California System; University of California Irvine; Boston University
  摘要：We develop and analyze models of the spatio-temporal organization of lymphocytes in the lymph nodes and spleen. The spatial dynamics of these immune system white blood cells are influenced by biochemical fields and represent key components of the overall immune response to vaccines and infections. A primary goal is to learn about the structure of these fields that fundamentally shape the immune response. We define dynamic models of single-cell motion involving nonparametric representations of ...
• Modeling of Multivariate Monotone Disease Processes in the Presence of Misclassification AI翻译
  作者：Jose Garcia-Zattera, Maria; Jara, Alejandro; Lesaffre, Emmanuel; Marshall, Guillermo
  作者单位：Pontificia Universidad Catolica de Chile; Pontificia Universidad Catolica de Chile; KU Leuven; Erasmus University Rotterdam; Erasmus MC
  摘要：Motivated by a longitudinal oral health study, the Signal-Tandmobiel (R) study, we propose a multivariate binary inhomogeneous Markov model in which unobserved correlated response variables are subject to an unconstrained misclassification process and have a monotone behavior. The multivariate baseline distributions and Markov transition matrices of the unobserved processes are defined as a function of covariates through the specification of compatible full conditional distributions. Distinct ...
• The Hybrid Wild Bootstrap for Time Series AI翻译
  作者：Kreiss, Jens-Peter; Paparoditis, Efstathios
  作者单位：Braunschweig University of Technology; University of Cyprus
  摘要：We introduce a new and simple bootstrap procedure for general linear processes, called the hybrid wild bootstrap. The hybrid wild bootstrap generates frequency domain replicates of the periodogram that imitate asymptotically correct the first- and second-order properties of the ordinary periodogram including its weak dependence structure at different frequencies. As a consequence, the hybrid wild bootstrapped periodogram succeeds in approximating consistently the distribution of statistics tha...