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作者：Wang, Hansheng; Xia, Yingcun
作者单位：Peking University; National University of Singapore
摘要：A new dimension-reduction method involving slicing the region of the response and applying local kernel regression to each slice is proposed. Compared with the traditional inverse regression methods [e.g., sliced inverse regression (SIR)], the new method is free of the linearity condition and has much better estimation accuracy. Compared with the direct estimation methods (e.g., MAVE), the new method is much more robust against extreme values and can capture the entire central subspace (CS) ex...
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作者：Faes, Christel; Geys, Helena; Molenberghs, Geert; Aerts, Marc; Cadarso-Suarez, Carmen; Acuna, Carlos; Cano, Monica
作者单位：Hasselt University; Universidade de Santiago de Compostela
摘要：Neurons can transmit information about the characteristics of a stimulus through the spike rate of neurons and synchronization of the neurons. Various association measure can be used to describe how synchronous two spike trains are. We propose a new measure of synchrony, the conditional synchrony measure, which is the probability of firing together given that at least one of the two neurons is active. Focus is on the specification of a flexible marginal model for multivariate correlated binary...
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作者：Luo, Sheng; Crainiceanu, Ciprian M.; Louis, Thomas A.; Chatterjee, Nilanjan
作者单位：Johns Hopkins University; National Institutes of Health (NIH) - USA; NIH National Cancer Institute (NCI); NIH National Cancer Institute- Division of Cancer Epidemiology & Genetics
摘要：We develop a mixed model to capture the complex stochastic nature of tobacco abuse and dependence. This model describes transition processes among addiction and nonaddiction stages. An important innovation of our model is allowing an unobserved cure state, or permanent quitting, in contrast to transient quitting. This distinction is necessary to model data from situations where censoring prevents unambiguous determination that a person has been cured, Moreover, the processes that described tra...
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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：Aldrich, John
作者单位：University of Southampton
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作者：Nordman, Daniel J.; Caragea, Petruta C.
作者单位：Iowa State University
摘要：We present a spatial blockwise empirical likelihood method for estimating variogram model parameters in the analysis of spatial data on a grid. The method produces point estimators that require no spatial variance estimates to compute, unlike least squares methods for variogram fitting, but are as efficient as the best least squares estimator in large samples. Our approach also produces confidence regions for the variogram, without requiring knowledge of the full joint distribution of the spat...
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作者：Yu, Menggang; Taylor, Jeremy M. G.; Sandler, Howard M.
作者单位：Indiana University System; Indiana University Indianapolis; University of Michigan System; University of Michigan; University of Michigan System; University of Michigan
摘要：Patients treated for prostate cancer are monitored by periodically measuring prostate-specific antigen (PSA) after treatment. Increases in PSA are suggestive of cancer recurrence and are used in making decisions about possible new treatments. The data from studies of such patients typically consist of longitudinal PSA measurements, censored event times, and baseline covariates. Methods for the combined analysis of both longitudinal and survival data have been developed in recent years, with th...
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作者：Caffo, Brian S.; Crainiceanu, Ciprian M.; Deng, Lijuan; Hendrix, Craig W.
作者单位：Johns Hopkins University; Johns Hopkins Bloomberg School of Public Health; Boston Scientific; Johns Hopkins University; Johns Hopkins Medicine; Johns Hopkins University; Johns Hopkins Medicine
摘要：In this article we are concerned with functional imaging of the colon to assess the kinetics of microbicide lubricants. The overarching goal IS to understand the distribution of the lubricants in the colon. Such information is crucial for understanding the potential impact of microbicides on human immunodeficiency virus transmission. The experiment was conducted by imaging a radiolabeled lubricant distributed in the subject's colon. The tracer imaging was conducted via single-photon emission c...
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作者：Doksum, Kjell; Tang, Shijie; Tsui, Kam-Wah
作者单位：University of Wisconsin System; University of Wisconsin Madison; Bristol-Myers Squibb
摘要：We consider regression experiments involving a response variable Y and a large number of predictor variables X-1,...,X-d, many of which may be irrelevant for the prediction of Y and thus must be removed before Y can be predicted from the X's. We consider two procedures that select variables by using importance scores that measure the strength of the relationship between predictor variables and a response and keep those variables whose importance scores exceed a threshold. In the first of these...
