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作者：Xue, HQ; Lam, KF; Li, GY
作者单位：Chinese Academy of Sciences; University of Chinese Academy of Sciences, CAS; University of Hong Kong; Chinese Academy of Sciences; Academy of Mathematics & System Sciences, CAS
摘要：In a randomized controlled clinical trial study where the response variable of interest is the time to occurrence of a certain event, it is often too expensive or even impossible to observe the exact time. However, the current status of the subject at a random time of inspection is much more natural, feasible, and practical in terms of cost-effectiveness. This article considers a semiparametric regression model that consists of parametric and nonparametric regression components. A sieve maximu...
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作者：King, R; Brooks, SP
作者单位：University of St Andrews; University of Cambridge
摘要：Effective management is the key to the protection of many endangered species. Identification of the primary factors that affect their survival often lead to L introduction of strategies to improve survival rates. In this article, we consider a small population of Hector's dolphins located off the coast of New Zealand and the impact that the establishment of a seasonal sanctuary has on their survival and migration rates. Using Akaike's information criterion and an extension of the simulated ann...
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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：Hu, CC; Lin, DY
作者单位：Harvard University; Harvard T.H. Chan School of Public Health; University of North Carolina; University of North Carolina Chapel Hill
摘要：This article proposes a general strategy for the regression analysis of univariate and multivariate failure time data when a subset of covariates cannot be measured precisely but replicate measurements of their surrogates are available. Multivariate failure time data include recurrent events and clustered Survival data. The number of replicate measurements can vary from subject to subject and can even depend on the failure time. No parametric assumption is imposed on the error or on any other ...
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作者：Denby, L; Landwehr, JM; Mallows, CL
作者单位：Avaya
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作者：Liu, XL; Müller, HG
作者单位：University of California System; University of California Los Angeles; University of California Los Angeles Medical Center; David Geffen School of Medicine at UCLA; University of California System; University of California Los Angeles; University of California Los Angeles Medical Center; David Geffen School of Medicine at UCLA; University of California System; University of California Davis
摘要：Data that can be best described as a sample of curves are now fairly common in science and engineering. When the dynamics of development, growth, or response over time are at issue, subjects or experimental units may experience events at different temporal paces. For functional data where trajectories may be individually time-transformed, it is usually inadequate to use commonly used sample statistics, such as the cross-sectional mean or median or the cross-sectional sample variance. If one ob...
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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...
