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作者：Skinner, Chris; Shlomo, Natalie
作者单位：University of Southampton
摘要：This article considers the assessment of the risk of identification of respondents in survey microdata, in the context of applications at the United Kingdom (UK) Office for National Statistics (ONS). The threat comes from the matching of categorical key variables between microdata records and external data sources and from the use of log-linear models to facilitate matching. While the potential use of such statistical models is well established in the literature, little consideration has been ...
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作者：Bemmaor, Albert C.; Hoppe, Daniel
作者单位：ESSEC Business School; University of Vienna
摘要：This article corrects two errors that appear in the study by Banerjee and Bhattacharyya (1976). It shows that the mixture of inverse Gaussian distributions can look like a better model of purchase frequencies than implied by Banerjee and Bhattacharyya's work.
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作者：Komarek, Arnost; Lesaffre, Emmanuel
作者单位：Charles University Prague; Universite Catholique Louvain
摘要：In this article we consider the relationship of covariates to the time to caries of permanent first molars. This involves an analysis of multivariate doubly interval-censored data. To describe this relationship, we suggest an accelerated failure time model with random effects, taking into account that the observations are clustered. Indeed, up to four permanent molars per child enter into the analysis, implying up to four caries times for each child. Each distributional part of the model is sp...
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作者：Lin, Julia Y.; Ten Have, Thomas R.; Elliott, Michael R.
作者单位：Harvard University; University of Pennsylvania; University of Michigan System; University of Michigan; University of Michigan System; University of Michigan
摘要：This article discusses a nested latent class model for analyzing longitudinal randomized trials when subjects do not always adhere to the treatment to which they are randomized. In the Prevention of Suicide in Primary Care Elderly: Collaborative Trial, subjects were randomized to either the control treatment, where they received standard care, or to the intervention, where they received standard care in addition to meeting with depression health specialists. The health specialists educate pati...
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作者：Staudenmayer, John; Ruppert, David; Buonaccorsi, John R.
作者单位：University of Massachusetts System; University of Massachusetts Amherst; Cornell University
摘要：We consider density estimation when the variable of interest is subject to heteroscedastic measurement error. The density is assumed to have a smooth but unknown functional form that we model with a penalized mixture of B-splines. We treat the situation in which multiple mismeasured observations of each variable of interest are observed for at least some of the subjects, and the measurement error is assumed to be additive and normal. The measurement error variance function is modeled with a se...
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作者：Yin, Guosheng; Zeng, Donglin; Li, Hui
作者单位：University of Texas System; UTMD Anderson Cancer Center; University of North Carolina; University of North Carolina Chapel Hill; Beijing Normal University
摘要：We propose a class of power-transformed linear quantile regression models for survival data subject to random censoring. The estimation procedure follows two sequential steps. First, for a given transformation parameter, we can easily obtain the estimates for the regression coefficients by minimizing a well-defined convex objective function. Second, we can estimate the transformation parameter based on a model discrepancy measure by constructing cumulative sum processes. We show that both the ...
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作者：Cottet, Remy; Kohn, Robert J.; Nott, David J.
作者单位：University of Sydney; University of New South Wales Sydney; National University of Singapore
摘要：We express the mean and variance terms in a double-exponential regression model as additive functions of the predictors and use Bayesian variable selection to determine which predictors enter the model and whether they enter linearly or flexibly. When the variance term is null, we obtain a generalized additive model, which becomes a generalized linear model if the predictors enter the mean linearly. The model is estimated using Markov chain Monte Carlo simulation, and the methodology is illust...
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作者：Ma, Ping; Zhong, Wenxuan
作者单位：University of Illinois System; University of Illinois Urbana-Champaign
摘要：In this article we propose a penalized clustering method for large-scale data with multiple covariates through a functional data approach. In our proposed method, responses and covariates are linked together through nonparametric multivariate functions (fixed effects), which have great flexibility in modeling various function features, such as jump points, branching, and periodicity. Functional ANOVA is used to further decompose multivariate functions in a reproducing kernel Hilbert space and ...
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作者：Van der Lans, Ralf; Pieters, Rik; Wedel, Michel
作者单位：Erasmus University Rotterdam; Erasmus University Rotterdam - Excl Erasmus MC; Tilburg University; University System of Maryland; University of Maryland College Park
摘要：Advances in eye-tracking technology have promoted its widespread use to understand and improve target searches in psychology, industrial engineering, human factors, medical diagnostics, and marketing. Eye movements are the realization of a complex, unobserved spatiotemporal attention process with many sources of variation. Eye-tracking data often have been aggregated and/or summarized descriptively, because few adequate statistical models are available for their analysis. This article proposes...
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作者：Diaconis, Persi; Lehmann, Erich
作者单位：Stanford University; University of California System; University of California Berkeley
