Journal of the American Statistical Association

最新文章

• SiZer for exploration of structures in curves AI翻译
  作者：Chaudhuri, P; Marron, JS
  作者单位：Indian Statistical Institute; Indian Statistical Institute Kolkata; University of North Carolina; University of North Carolina Chapel Hill
  摘要：In the use of smoothing methods in data analysis, an important question is which observed features are really there, as opposed to being spurious sampling artifacts. An approach is described based on scale-space ideas originally developed in the computer vision literature. Assessment of SIgnificant ZERo crossings of derivatives results in the SiZer map, a graphical device for display of significance of features with respect to both location and scale. Here scale means level of resolution; that...
• Estimation of the causal effect of a time-varying exposure on the marginal mean of a repeated binary outcome - Comment AI翻译
  作者：Wasserman, L
  作者单位：Carnegie Mellon University
• Classes of nonseparable, spatio-temporal stationary covariance functions AI翻译
  作者：Cressie, N; Huang, HC
  作者单位：University System of Ohio; Ohio State University
  摘要：Suppose that a random process Z(s; t), indexed in space and time, has spatio-temporal stationary covariance C(h; u), where h epsilon R-d (d greater than or equal to 1) is a spatial lag and u epsilon R is a temporal lag. Separable spatio-temporal covariances have the property that they can be written as a product of a purely spatial covariance and a purely temporal covariance. Their ease of definition is counterbalanced by the rather limited class of random processes to which they correspond. I...
• Retrospective ascertainment of recurrent events: An application to time to pregnancy AI翻译
  作者：Scheike, TH; Petersen, JH; Martinussen, T
  作者单位：University of Copenhagen; University of Copenhagen
  摘要：Retrospectively ascertained data are common in many areas, including demography, epidemiology, and actuarial science. The main objective of this article is to study the effect of retrospective ascertainment on inference regarding recurrent events of time to pregnancy (TTP) data. For the particular TTP dataset that we consider, couples are included retrospectively based on their first pregnancy and then followed prospectively to a second pregnancy or to end of study. We consider a conditional m...
• Prediction of spatial cumulative distribution functions using subsampling AI翻译
  作者：Lahiri, SN; Kaiser, MS; Cressie, N; Hsu, NJ
  作者单位：Iowa State University; Tunghai University
  摘要：The spatial cumulative distribution function (SCDF) is a random function that provides a statistical summary of a random field over a spatial domain of interest. In this article we develop a spatial subsampling method fur predicting an SCDF based on observations made on a hexagonal grid, similar to the one used in the Environmental Monitoring and Assessment Program of the U.S. Environmental Protection Agency. We show that under quite general conditions, the proposed subsampling method provides...
• An improved estimator of the density function at the boundary AI翻译
  作者：Zhang, S; Karunamuni, RJ; Jones, MC
  作者单位：University of Alaska System; University of Alaska Fairbanks; University of Alberta; Open University - UK
  摘要：We propose a new method of boundary correction for kernel density estimation. The technique is a kind of generalized reflection method involving reflecting a transformation of the data. The transformation depends on a pilot estimate of the logarithmic derivative of the density at the boundary. In simulations, the new method is seen to clearly outperform an earlier generalized reflection idea. It also has overall advantages over boundary kernel methods and a nonnegative adaptation thereof, alth...
• Nonparametric two-sample comparisons of changes on ordinal responses AI翻译
  作者：Bajorski, P; Petkau, J
  作者单位：Rochester Institute of Technology; University of British Columbia
  摘要：We discuss two-armed clinical trials in which an ordinal response is observed on entry and at follow-up. In certain subject areas, such data are often reduced to the counts of patients who have deteriorated, remained the same, or improved. We develop asymptotic distribution theory to compare this approach to the use of nonparametric tests based on poststratification of the follow-up responses according to the entry levels. The theory for the latter approach is established by a general result f...
• Comment on Stute, Manteiga, and Quindimil AI翻译
  作者：Wilcox, RR
  作者单位：University of Southern California
• Conditional regression analysis for recurrence time data AI翻译
  作者：Chang, SH; Wang, MC
  作者单位：National Taiwan University; Johns Hopkins University
  摘要：Recurrence time data can be regarded as a specific type of correlated survival data in which recurrent event times of a subject are stochastically ordered. Given the ordinal nature of recurrence times, this article focuses on conditional regression analysis. A semiparametric hazards model, including the structural and episode-specific parameters, is proposed for recurrence time data. In this model the order of episodes serves as the stratification variable. Estimation of the structural paramet...
• Adjusting for nonignorable drop-out using semiparametric nonresponse models - Rejoinder AI翻译
  作者：Scharfstein, DO; Rotnitzky, A; Robins, JM