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作者：Feng, Long; Bi, Xuan; Zhang, Heping
作者单位：Yale University; University of Minnesota System; University of Minnesota Twin Cities
摘要：Brain-imaging data have been increasingly used to understand intellectual disabilities. Despite significant progress in biomedical research, the mechanisms for most of the intellectual disabilities remain unknown. Finding the underlying neurological mechanisms has proved difficult, especially in children due to the rapid development of their brains. We investigate verbal reasoning, which is a reliable measure of an individual's general intellectual abilities, and develop a class of high-order ...
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作者：Schulz, Juliana; Moodie, Erica E. M.
作者单位：Universite de Montreal; HEC Montreal; McGill University
摘要：The goal of precision medicine is to tailor treatment strategies on an individual patient level. Although several estimation techniques have been developed for determining optimal treatment rules, the majority of methods focus on the case of a dichotomous treatment, an example being the dynamic weighted ordinary least squares regression approach of Wallace and Moodie. We propose an extension to the aforementioned framework to allow for a continuous treatment with the ultimate goal of estimatin...
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作者：Dryden, Ian L.; Kume, Alfred; Paine, Phillip J.; Wood, Andrew T. A.
作者单位：University of Nottingham; University of Kent; University of Sheffield; Australian National University
摘要：In this article, we propose a regression model for size-and-shape response data. So far as we are aware, few such models have been explored in the literature to date. We assume a Gaussian model for labeled landmarks; these landmarks are used to represent the random objects under study. The regression structure, assumed in this article to be linear in the ambient space, enters through the landmark means. Two approaches to parameter estimation are considered. The first approach is based directly...
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作者：Ma, Rong; Tony Cai, T.; Li, Hongzhe
作者单位：University of Pennsylvania; University of Pennsylvania
摘要：Motivated by recent research on quantifying bacterial growth dynamics based on genome assemblies, we consider a permuted monotone matrix model , where the rows represent different samples, the columns represent contigs in genome assemblies and the elements represent log-read counts after preprocessing steps and Guanine-Cytosine (GC) adjustment. In this model, Theta is an unknown mean matrix with monotone entries for each row, pi is a permutation matrix that permutes the columns of Theta, and Z...
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作者：Laga, Ian; Bao, Le; Niu, Xiaoyue
作者单位：Pennsylvania Commonwealth System of Higher Education (PCSHE); Pennsylvania State University; Pennsylvania State University - University Park
摘要：Estimating the size of hard-to-reach populations is an important problem for many fields. The network scale-up method (NSUM) is a relatively new approach to estimate the size of these hard-to-reach populations by asking respondents the question, How many X's do you know, where X is the population of interest (e.g., How many female sex workers do you know?). The answers to these questions form aggregated relational data (ARD). The NSUM has been used to estimate the size of a variety of subpopul...
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作者：Chu, Chi Wing; Sit, Tony; Xu, Gongjun
作者单位：Columbia University; Chinese University of Hong Kong; University of Michigan System; University of Michigan
摘要：We propose a class of power-transformed linear quantile regression models for time-to-event observations subject to censoring. By introducing a process of power transformation with different transformation parameters at individual quantile levels, our framework relaxes the assumption of logarithmic transformation on survival times and provides dynamic estimation of various quantile levels. With such formulation, our proposal no longer requires the potentially restrictive global linearity assum...
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作者：Tang, Francesca; Feng, Yang; Chiheb, Hamza; Fan, Jianqing
作者单位：Princeton University; New York University
摘要：With the severity of the COVID-19 outbreak, we characterize the nature of the growth trajectories of counties in the United States using a novel combination of spectral clustering and the correlation matrix. As the United States and the rest of the world are still suffering from the effects of the virus, the importance of assigning growth membership to counties and understanding the determinants of the growth is increasingly evident. For the two communities (faster versus slower growth traject...
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作者：Zhang, Bo; Pu, Hongming
作者单位：University of Pennsylvania
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作者：Chen, Haoyu; Lu, Wenbin; Song, Rui
作者单位：North Carolina State University
摘要：Online decision making aims to learn the optimal decision rule by making personalized decisions and updating the decision rule recursively. It has become easier than before with the help of big data, but new challenges also come along. Since the decision rule should be updated once per step, an offline update which uses all the historical data is inefficient in computation and storage. To this end, we propose a completely online algorithm that can make decisions and update the decision rule on...
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作者：Gorfine, Malka; Keret, Nir; Ben Arie, Asaf; Zucker, David; Hsu, Li
作者单位：Tel Aviv University; Hebrew University of Jerusalem; Fred Hutchinson Cancer Center
摘要：The UK Biobank is a large-scale health resource comprising genetic, environmental, and medical information on approximately 500,000 volunteer participants in the United Kingdom, recruited at ages 40-69 during the years 2006-2010. The project monitors the health and well-being of its participants. This work demonstrates how these data can be used to yield the building blocks for an interpretable risk-prediction model, in a semiparametric fashion, based on known genetic and environmental risk fa...
