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作者：Guan, Yongtao; Waagepetersen, Rasmus; Beale, Colin M.
作者单位：Yale University; Aalborg University; James Hutton Institute
摘要：We consider pairs of spatial point processes with intensity functions sharing a common multiplicative term. We introduce two novel approaches to estimating the pair correlation function for one of the point processes by treating the other as a baseline so as to account for the unspecified part of the intensity functions. The first approach is based on nonparametric kernel-smoothing, whereas the second approach uses a conditional likelihood estimation approach to fit a parametric model for the ...
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作者：Sinha, Debajyoti; Maiti, Tapabrata; Ibrahim, Joseph G.; Ouyang, Bichun
作者单位：State University System of Florida; Florida State University; Iowa State University; University of North Carolina; University of North Carolina Chapel Hill; Medical University of South Carolina
摘要：There has been a recent surge of interest in modeling and methods for analyzing recurrent events data with risk of termination dependent on the history of the recurrent events. To aid future users in understanding the implications of modeling assumptions and modeling properties, we review the state-of-the-art statistical methods and present novel theoretical properties, identifiability results, and practical consequences of key modeling assumptions of several fully specified stochastic models....
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作者：Guha, Subharup; Li, Yi; Neuberg, Donna
作者单位：University of Missouri System; University of Missouri Columbia; Harvard University; Harvard T.H. Chan School of Public Health
摘要：Genomic alterations have been linked to the development and progression of cancer. The technique of comparative genomic hybridization (CGH) yields data consisting of fluorescence intensity ratios of test and reference DNA samples. The intensity ratios provide information about the number of copies in DNA. Practical issues such as the contamination of tumor cells in tissue specimens and normalization errors necessitate the use of statistics for learning about the genomic alterations from array ...
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作者：Cizek, Pavel
作者单位：Tilburg University
摘要：The binary-choice regression models, such as probit and logit, are used to describe the effect of explanatory variables on a binary response variable. Typically estimated by the maximum likelihood method, estimates are very sensitive to deviations from a model, such as heteroscedasticity and data contamination. At the same time, the traditional robust (high-breakdown point) methods, such as the maximum trimmed likelihood, are not applicable because, by trimming observations, they induce nonide...
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作者：Li, Gang; Zhou, Kefei
作者单位：University of California System; University of California Los Angeles; Perrigo Company PLC; Perrigo Company PLC North America
摘要：We present a unified approach to nonparametric comparisons of receiver operating characteristic (ROC) curves for a paired design with clustered data. Treating empirical ROC curves as stochastic processes, their asymptotic joint distribution is derived in the presence of both between-marker and within-subject correlations. A Monte Carlo method is developed to approximate their joint distribution without involving nonparametric density estimation. The developed theory is applied to derive new in...
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作者：Ma, Yanyuan; Yin, Guosheng
作者单位：University of Neuchatel; University of Texas System; UTMD Anderson Cancer Center
摘要：Cure rate models explicitly account for the survival fraction in failure time data. When the covariates are measured with errors, naively treating mismeasured covariates as error-free would cause estimation bias and thus lead to incorrect inference. Under the proportional hazards cure model, we propose a corrected score approach as well as its generalization, and implement a transformation on the mismeasured covariates toward error additivity and/or normality. The corrected score equations can...
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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...
