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作者：Fogarty, Colin B.; Small, Dylan S.
作者单位：University of Pennsylvania; Massachusetts Institute of Technology (MIT); Massachusetts Institute of Technology (MIT)
摘要：A sensitivity analysis in an observational study assesses the robustness of significant findings to unmeasured confounding. While sensitivity analyses in matched observational studies have been well addressed when there is a single outcome variable, accounting for multiple comparisons through the existing methods yields overly conservative results when there are multiple outcome variables of interest. This stems from the fact that unmeasured confounding cannot affect the probability of assignm...
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作者：Wallace, Michael P.; Moodie, Erica E. M.; Stephens, David A.
作者单位：McGill University; McGill University
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作者：Wood, Simon N.; Pya, Natalya; Saefken, Benjamin
作者单位：University of Bristol; KIMEP University; University of Gottingen
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作者：Zhang, Xinyu; Yu, Dalei; Zou, Guohua; Liang, Hua
作者单位：Chinese Academy of Sciences; Academy of Mathematics & System Sciences, CAS; Yunnan University of Finance & Economics
摘要：Considering model averaging estimation in generalized linear models, we propose a weight choice criterion based on the Kullback-Leibler (KL) loss with a penalty term. This criterion is different from that for continuous observations in principle, but reduces to the Mallows criterion in the situation. We prove that the corresponding model averaging estimator is asymptotically optimal under certain assumptions. We further extend our concern to the generalized linear mixed-effects model framework...
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作者：Plumlee, Matthew; Joseph, V. Roshan; Yang, Hui
作者单位：University of Michigan System; University of Michigan
摘要：Computational modeling is a popular tool to understand a diverse set of complex systems. The output from a computational model depends on a set of parameters that are unknown to the designer, but a modeler can estimate them by collecting physical data. In the described study of the ion channels of ventricular myocytes, the parameter of interest is a function as opposed to a scalar or a set of scalars. This article develops a new modeling strategy to nonparametrically study the functional param...
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作者：Mefford, Joel A.; Zaitlen, Noah A.; Witte, John S.
作者单位：University of California System; University of California San Francisco; University of California System; University of California San Francisco; University of California System; University of California San Francisco
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作者：Pan, Rui; Wang, Hansheng; Li, Runze
作者单位：Central University of Finance & Economics; Peking University; Pennsylvania Commonwealth System of Higher Education (PCSHE); Pennsylvania State University; Pennsylvania State University - University Park; Pennsylvania Commonwealth System of Higher Education (PCSHE); Pennsylvania State University; Pennsylvania State University - University Park
摘要：This article is concerned with the problem of feature screening for multiclass linear discriminant analysis under ultrahigh-dimensional setting. We allow the number of classes to be relatively large. As a result, the total number of relevant features is larger than usual. This makes the related classification problem much more challenging than the conventional one, where the number of classes is small (very often two). To solve the problem, we propose a novel pairwise sure independence screeni...
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作者：Zhu, Yunzhang; Shen, Xiaotong; Ye, Changqing
作者单位：University of Minnesota System; University of Minnesota Twin Cities
摘要：Personalized information filtering extracts the information specifically relevant to a user, predicting his/her preference over a large number of items, based on the opinions of users who think alike or its content. This problem is cast into the framework of regression and classification, where we integrate additional user-specific and content-specific predictors in partial latent models, for higher predictive accuracy. In particular, we factorize a user-over-item preference matrix into a prod...
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作者：Breidt, F. Jay; Opsomer, Jean D.; Sanchez-Borrego, Ismael
作者单位：Colorado State University System; Colorado State University Fort Collins
摘要：Fine stratification is commonly used to control the distribution of a sample from a finite population and to improve the precision of resulting estimators. One-per-stratum designs represent the finest possible stratification and occur in practice, but designs with very low numbers of elements per stratum (say, two orthree). are also common. The classical variance estimator in this context is the collapsed stratum estimator, which relies on creating larger pseudo-strata and computing the sum of...
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作者：Tang, Jin; Li, Yehua; Guan, Yongtao
作者单位：Iowa State University; Iowa State University
摘要：We model generalized longitudinal data from multiple treatment groups by a class of semiparametric analysis of covariance models, which take into account the parametric effects of time dependent covariates and the nonparametric time effects. In these models, the treatment effects are represented by nonparametric functions of time and we propose a generalized quasi-likelihood ratio test procedure to test if these functions are identical. Our estimation procedure is based on profile estimating e...
