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作者：Fischer, K; Goetghebeur, E
作者单位：University of Tartu; Ghent University
摘要：A randomized, placebo-controlled blood pressure (BP) reduction trial has recorded compliance measures by electronic monitoring. Causal questions regarding dose effects are of interest, but one often wants to avoid the assumption that compliance quantiles on both randomized arms are comparable. Structural mean models (SMMs) do avoid this assumption; however, they do not allow for interaction effects between variables observed on different randomized arms. Such an interaction between observed ex...
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作者：Müller, P; Sansó, B; De Iorio, M
作者单位：University of Texas System; UTMD Anderson Cancer Center; University of California System; University of California Santa Cruz; Simon Bolivar University; Imperial College London
摘要：We consider decision problems defined by a utility function and an underlying probability model for all unknowns. The utility function quantifies the decision maker's preferences over consequences. The optimal decision maximizes the expected utility function where the expectation is taken with respect to all unknowns, that is, future data and parameters. In many problems, the solution is not analytically tractable. For example, the utility function might involve moments that can be computed on...
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作者：Zhang, CM
作者单位：University of Wisconsin System; University of Wisconsin Madison
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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：Laviolette, M
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作者：Roulston, MS
作者单位：Pennsylvania Commonwealth System of Higher Education (PCSHE); Pennsylvania State University; Pennsylvania State University - University Park
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作者：Zhang, HH; Wahba, G; Lin, Y; Voelker, M; Ferris, M; Klein, R; Klein, B
作者单位：North Carolina State University; University of Wisconsin System; University of Wisconsin Madison; University of Wisconsin System; University of Wisconsin Madison; University of Wisconsin System; University of Wisconsin Madison
摘要：This article presents a nonparametric penalized likelihood approach for variable selection and model building, called likelihood basis pursuit (LBP). In the setting of a tenser product reproducing kernel Hilbert space, we decompose the log-likelihood into the sum of different functional components such as main effects and interactions, with each component represented by appropriate basis functions. Basis functions are chosen to be compatible with variable selection and model building in the co...
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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：Stanek, EJ III; Singer, JM
作者单位：University of Massachusetts System; University of Massachusetts Amherst; Universidade de Sao Paulo
摘要：In many situations there is interest in parameters (e.g., mean) associated with the response distribution of individual Clusters in a finite clustered population. We develop predictors of such parameters using a two-stage sampling probability model with response error. The probability model sterns directly from finite population sampling without additional assumptions, and thus is design-based. The predictors are closely related to best linear unbiased predictors (BLUP) that arise from common ...
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作者：Dempster, AP
作者单位：Harvard University
