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作者:Chatterjee, N
作者单位:National Institutes of Health (NIH) - USA; NIH National Cancer Institute (NCI); NIH National Cancer Institute- Division of Cancer Epidemiology & Genetics
摘要:Polytomous logistic regression is commonly used to analyze epidemiological data with disease subtype information. In this approach effects of exposures on different disease subtypes are studied through separate exposure odds ratios comparing different case groups to the common control group. This article considers the situation where disease subtypes can be defined Using multiple characteristics of a disease. For efficient analysis of such data, a two-stage modeling approach is proposed. At th...
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作者:Lockwood, JR; Schervish, MJ; Gurian, PL; Small, MJ
作者单位:RAND Corporation; University of Texas System; University of Texas El Paso; Carnegie Mellon University; Carnegie Mellon University; Carnegie Mellon University
摘要:The current framework for U.S. Environmental Protection Agency regulation of water quality in community drinking water supplies produces sequential rules for either single contaminants or small groups of similar contaminants. For both substantive and pragmatic reasons, some water industry experts have advocated the development of a more holistic regulatory process in which rules are promulgated less frequently but for larger contaminant classes. Such a framework would require the expansion of ...
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作者:Presnell, B; Boos, DD
作者单位:State University System of Florida; University of Florida; North Carolina State University
摘要:A new test of model misspecification is proposed, based on the ratio of in-sample and out-of-sample likelihoods. The test is broadly applicable and, in simple problems, approximates well-known, intuitive methods. Using jackknife influence curve approximations, it is shown that the test statistic can be viewed asymptotically as a multiplicative contrast between two estimates of the information matrix, both of which are consistent under correct model specification. This approximation is used to ...
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作者:Zhang, H
作者单位:Washington State University
摘要:it is shown that in model-based geostatistics, not all parameters in the Matern class can be estimated consistently if data are observed in an increasing density in a fixed domain, regardless of the estimation methods used. Nevertheless, one quantity can be estimated consistently by the maximum likelihood method, and this quantity is more important to spatial interpolation. The results are established by using the properties of equivalence and orthogonality of probability measures. Some suffic...
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作者:Jarrow, R; Ruppert, D; Yu, Y
作者单位:Cornell University; University System of Ohio; University of Cincinnati; Cornell University
摘要:This article provides a new methodology for estimating the term structure of corporate debt using a semiparametric penalized spline model. The method is applied to a case study of AT&T bonds. Typically, very few data are available on individual corporate bond prices, too little to find a nonparametric estimate of term structure from these bonds alone. This problem is solved by borrowing strength from Treasury bond data. More specifically, we combine a nonparametric model for the term structure...
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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:Ferreira, E; Stute, W
作者单位:University of Basque Country; Justus Liebig University Giessen
摘要:In this article we study tests for equality of two regression curves when the inputs are driven by a time series. The basic process underlying the test statistics is the empirical process of the time series marked by the difference in the pertaining dependent variables. The main results hold under strict stationarity of the input variables, but no mixing condition or special modeling of the time series will be necessary. A simulation study is reported on, which illustrates the quality of the d...
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作者:Lee, YK; Lin, Y; Wahba, G
作者单位:University System of Ohio; Ohio State University; University of Wisconsin System; University of Wisconsin Madison
摘要:Two-category support vector machines (SVM) have been very popular in the machine learning community for classification problems. Solving multicategory problems by a series of binary classifiers is quite common in the SVM paradigm; however, this approach may fail under various circumstances. We propose the multicategory support vector machine (MSVM), which extends the binary SVM to the multicategory case and has good theoretical properties. The proposed method provides a unifying framework when...
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作者:Greevy, R; Silber, JH; Cnaan, A; Rosenbaum, PR
作者单位:University of Pennsylvania; University of Pennsylvania; University of Pennsylvania; Pennsylvania Medicine; Childrens Hospital of Philadelphia
摘要:Anthracyclines are quite effective at curing certain cancers of childhood, but they may damage the heart. The ACE-Inhibitor After Anthracycline (AAA) study compared enalapril to placebo in a randomized trial in an effort to determine whether treatment with enalapril would preserve or improve cardiac function among children previously treated with anthracylines. As is true in many clinical trials, patient compliance with the study protocol was imperfect: some children took less than the prescri...
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作者:Ekström, M; Luna, SSD
作者单位:Umea University; Umea University
摘要:Subsampling and block resampling methods have been suggested in the literature to nonparametrically estimate the variance of statistics computed from spatial data. Usually stationary data are required. However, in empirical applications, the assumption of stationarity often must be rejected. This article proposes nonparametric methods to estimate the variance of (functions of) sample means based on nonstationary spatial data using subsampling. We assume that data are observed on a lattice in s...