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作者：Zhang, Xinyu; Zou, Guohua; Liang, Hua; Carroll, Raymond J.
作者单位：Chinese Academy of Sciences; Academy of Mathematics & System Sciences, CAS; Qingdao University; Capital Normal University; George Washington University; Texas A&M University System; Texas A&M University College Station; University of Technology Sydney
摘要：Model averaging generally provides better predictions than model selection, but the existing model averaging methods cannot lead to parsimonious models. Parsimony is an especially important property when the number of parameters is large. To achieve a parsimonious model averaging coefficient estimator, we suggest a novel criterion for choosing weights. Asymptotic properties are derived in two practical scenarios: (i) one or more correct models exist in the candidate model set and (ii) all cand...
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作者：Williams, Jonathan P.; Storlie, Curtis B.; Therneau, Terry M.; Jack, Clifford R., Jr.; Hannig, Jan
作者单位：Mayo Clinic; University of North Carolina; University of North Carolina Chapel Hill
摘要：People are living longer than ever before, and with this arises new complications and challenges for humanity. Among the most pressing of these challenges is of understanding the role of aging in the development of dementia. This article is motivated by the Mayo Clinic Study of Aging data for 4742 subjects since 2004, and how it can be used to draw inference on the role of aging in the development of dementia. We construct a hidden Markov model (HMM) to represent progression of dementia from s...
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作者：Liu, Yaowu; Xie, Jun
作者单位：Harvard University; Harvard T.H. Chan School of Public Health; Purdue University System; Purdue University
摘要：Combining individual p-values to aggregate multiple small effects has a long-standing interest in statistics, dating back to the classic Fisher's combination test. In modern large-scale data analysis, correlation and sparsity are common features and efficient computation is a necessary requirement for dealing with massive data. To overcome these challenges, we propose a new test that takes advantage of the Cauchy distribution. Our test statistic has a simple form and is defined as a weighted s...
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作者：Yang, Bingduo; Long, Wei; Peng, Liang; Cai, Zongwu
作者单位：Sun Yat Sen University; Tulane University; University System of Georgia; Georgia State University; University of Kansas
摘要：We use ten common macroeconomic variables to test for the predictability of the quarterly growth rate of house price index (HPI) in the United States during 1975:Q1-2018:Q2. We extend the instrumental variable based Wald statistic (IVX-KMS) proposed by Kostakis, Magdalinos, and Stamatogiannis to a new instrumental variable based Wald statistic (IVX-AR) which accounts for serial correlation and heteroscedasticity in the error terms of the linear predictive regression model. Simulation results s...
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作者：Aronow, Peter M.; Savje, Fredrik
作者单位：Yale University
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作者：Storlie, Curtis B.; Therneau, Terry M.; Carter, Rickey E.; Chia, Nicholas; Bergquist, John R.; Huddleston, Jeanne M.; Romero-Brufau, Santiago
作者单位：Mayo Clinic
摘要：We describe the Bedside Patient Rescue (BPR) project, the goal of which is risk prediction of adverse events for non-intensive care unit patients using similar to 100 variables (vitals, lab results, assessments, etc.). There are several missing predictor values for most patients, which in the health sciences is the norm, rather than the exception. A Bayesian approach is presented that addresses many of the shortcomings to standard approaches to missing predictors: (i) treatment of the uncertai...
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作者：Tang, Xiwei; Bi, Xuan; Qu, Annie
作者单位：University of Virginia; University of Minnesota System; University of Minnesota Twin Cities; University of Illinois System; University of Illinois Urbana-Champaign
摘要：This work is motivated by multimodality breast cancer imaging data, which is quite challenging in that the signals of discrete tumor-associated microvesicles are randomly distributed with heterogeneous patterns. This imposes a significant challenge for conventional imaging regression and dimension reduction models assuming a homogeneous feature structure. We develop an innovative multilayer tensor learning method to incorporate heterogeneity to a higher-order tensor decomposition and predict d...
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作者：Marra, Giampiero; Radice, Rosalba
作者单位：University of London; University College London; City St Georges, University of London; University of London
摘要：This article proposes an approach to estimate and make inference on the parameters of copula link-based survival models. The methodology allows for the margins to be specified using flexible parametric formulations for time-to-event data, the baseline survival functions to be modeled using monotonic splines, and each parameter of the assumed joint survival distribution to depend on an additive predictor incorporating several types of covariate effects. All the model's coefficients as well as t...
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作者：Delaigle, Aurore; Huang, Wei; Lei, Shaoke
作者单位：University of Melbourne; University of Melbourne; Royal Children's Hospital Melbourne; Murdoch Children's Research Institute; Royal Children's Hospital Melbourne
摘要：We consider estimating the conditional prevalence of a disease from data pooled according to the group testing mechanism. Consistent estimators have been proposed in the literature, but they rely on the data being available for all individuals. In infectious disease studies where group testing is frequently applied, the covariate is often missing for some individuals. There, unless the missing mechanism occurs completely at random, applying the existing techniques to the complete cases without...
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作者：Qi, Zhengling; Liu, Dacheng; Fu, Haoda; Liu, Yufeng
作者单位：University of North Carolina; University of North Carolina Chapel Hill; Boehringer Ingelheim; Eli Lilly; Lilly Research Laboratories; University of North Carolina; University of North Carolina Chapel Hill
摘要：Estimating an optimal individualized treatment rule (ITR) based on patients' information is an important problem in precision medicine. An optimal ITR is a decision function that optimizes patients' expected clinical outcomes. Many existing methods in the literature are designed for binary treatment settings with the interest of a continuous outcome. Much less work has been done on estimating optimal ITRs in multiple treatment settings with good interpretations. In this article, we propose ang...
