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作者：Huang, CY; Wang, MC
作者单位：University of Minnesota System; University of Minnesota Twin Cities; Johns Hopkins University; Johns Hopkins Bloomberg School of Public Health
摘要：Recurrent event data are commonly encountered in longitudinal follow-up Studies related to biomedical science, econometrics. reliability, and demography. In many studies. recurrent events serve as important measurements for evaluating disease progression, health deterioration. or insurance risk. When analyzing recurrent event data, an independent censoring condition is typically required for the construction of statistical methods. In some situations. however, the terminating time for observin...
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作者：Wu, ZJ; Irizarry, RA; Gentleman, R; Martinez-Murillo, F; Spencer, F
作者单位：Johns Hopkins University; Johns Hopkins University; Johns Hopkins University; Harvard University; Harvard University Medical Affiliates; Dana-Farber Cancer Institute
摘要：High-density oligonucleotide expression arrays are widely used in many areas of biomedical research. Affymetrix GeneChip arrays are the most popular, In the Affymetrix system. a fair amount of further preprocessing and data reduction occurs after the image-processing step. Statistical procedures developed by academic groups have been successful in improving the default algorithms provided by the Affymetrix system. In this article we present a solution to one of the preprocessing steps-backgrou...
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作者：López-Fidalgo, J; Garcet-Rodríguez, SA
作者单位：University of Salamanca
摘要：This article considers the problem of constructing optimal designs for regression models when the design space is a product space and some of the variables are not under the control of the practitioner. A variable that is not tinder control can have known values before the experiment is performed or else unknown values before the experiment is realized. The first case is briefly discussed in the literature. The aim of this work is to provide equivalence theorems for the second case and the mix...
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作者：Dominici, F; McDermott, A; Hastie, TJ
作者单位：Johns Hopkins University; Stanford University
摘要：In 2002, methodological issues around time series analyses of air pollution and health attracted the attention of the scientific community, policy makers, the press, and the diverse stakeholders concerned with air pollution. As the U.S. Environmental Protection Agency (EPA) was finalizing its most recent review of epidemiologic evidence on particulate matter air pollution (PM), statisticians and epidemiologists found that the S-PLUS implementation of generalized additive models (GAMs) can over...
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作者：Chen, HY
作者单位：University of Illinois System; University of Illinois Chicago; University of Illinois Chicago Hospital
摘要：Robustness of covariate modeling for the missing-covariate problem in parametric regression is studied under the missing-at-random assumption. For a simple missing-covariate pattern, nonparametric covariate model is proposed and is shown to yield a consistent and semiparametrically efficient estimator for the regression parameter, Total robustness is achieved in this situation. For more general missing-covariate patterns, a novel semiparametric modeling approach is proposed for the covariates....
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作者：Hall, P; Racine, J; Li, Q
作者单位：Australian National University; Syracuse University; Syracuse University; Texas A&M University System; Texas A&M University College Station
摘要：Many practical problems, especially some connected with forecasting, require nonparametric estimation of conditional densities from mixed data. For example, given an explanatory data vector X for a prospective customer, with components that could include the customer's salary, occupation, age, sex, marital status, and address, a company might wish to estimate the density of the expenditure, Y, that could be made by that person, basing the inference on observations of (X, Y) for previous client...
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作者：Hubert, M; Rousseeuw, PJ; Branden, KV
作者单位：KU Leuven; University of Antwerp; KU Leuven
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作者：Müller, P; Parmigiani, G; Robert, C; Rousseau, J
作者单位：University of Texas System; UTMD Anderson Cancer Center; Johns Hopkins University; Universite PSL; Universite Paris-Dauphine; Institut Polytechnique de Paris; ENSAE Paris; Universite Paris Cite
摘要：We consider the choice of an optimal sample size for multiple-comparison problems. The motivating application is the choice of the number of microarray experiments to be carried out when learning about differential gene expression. However, the approach is valid in any application that involves multiple comparisons in a large number of hypothesis tests. We discuss two decision problems in the context of this setup: the. sample size selection and the decision about the multiple comparisons. We ...
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作者：Pacifico, MP; Genovese, C; Verdinelli, I; Wasserman, L
作者单位：Sapienza University Rome; Carnegie Mellon University
摘要：This article extends false discovery rates to random fields. for which there are uncountably many hypothesis tests. We develop a method for finding regions in the field's domain where there is a significant signal while controlling either the proportion of area or the proportion of clusters in which false rejections occur. The method produces confidence envelopes for the proportion of false discoveries as a function of the rejection threshold. From the confidence envelopes, we derive threshold...
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作者：Roy, A; Falk, B; Fuller, WA
作者单位：University System of Maryland; University of Maryland Baltimore County; Iowa State University
摘要：A popular model for assessing dependence on time is the time series model composed of a linear trend plus a zero mean autoregressive (AR) process. Although considerable effort has been devoted developing tests for linear trend in the presence of serial correlation, the testing procedures used in practice are less than satisfactory for portions of the parameter space for the AR coefficient. This is because the variance of the feasible generalized least squares (FGLS) estimator of the trend coef...
