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作者：Sung, Chih-Li
作者单位：Michigan State University
摘要：As the coronavirus disease 2019 (COVID-19) has shown profound ef-fects on public health and the economy worldwide, it becomes crucial to as-sess the impact on the virus transmission and develop effective strategies to address the challenge. A new statistical model, derived from the SIR epidemic model with functional parameters, is proposed to understand the impact of weather and government interventions on the virus spread in the presence of asymptomatic infections among eight metropolitan are...
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作者：Gibbs, Connor P.; Elmore, Ryan; Fosdick, Bailey K.
作者单位：Colorado State University System; Colorado State University Fort Collins; University of Denver
摘要：In the summer of 2017, the National Basketball Association reduced the number of total timeouts, along with other rule changes, to regulate the flow of the game. With these rule changes it becomes increasingly important for coaches to effectively manage their timeouts. Understanding the utility of a timeout under various game scenarios, for example, during an opposing team's run, is of the utmost importance. There are two schools of thought when the opposition is on a run: (1) call a timeout a...
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作者：Parsons, Jacob; Niu, Xiaoyue; Bao, Le
作者单位：GlaxoSmithKline; Glaxosmithkline United Kingdom; Pennsylvania Commonwealth System of Higher Education (PCSHE); Pennsylvania State University; Pennsylvania State University - University Park
摘要：To combat the HIV/AIDS pandemic effectively, targeted interventions among certain key populations play a critical role. Examples of such key populations include sex workers, people who inject drugs, and men who have sex with men. While having accurate estimates for the size of these key populations is important, any attempt to directly contact or count members of these populations is difficult. As a result, indirect methods are used to produce size estimates. Multiple approaches for estimating...
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作者：White, Philip A.; Frye, Henry; Christensen, Michael F.; Gelfand, Alan E.; Silander, John A., Jr.
作者单位：Brigham Young University; University of Connecticut; Duke University
摘要：Plant reflectance spectra, the profile of light reflected by leaves across different wavelengths, supply the spectral signature for a species at a spatial location to enable estimation of functional and taxonomic diversity for plants. We consider leaf spectra as responses to be explained spatially. These reflectance spectra are also functions over wavelength that respond to the environment. Our motivating data are gathered for several plant families from the Greater Cape Floristic Region (GCFR...
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作者：Lin, Ruitao; Shi, Haolun; Yin, Guosheng; Thali, Peter F.; Yuan, Ying; Flowers, Christopher R.
作者单位：University of Texas System; UTMD Anderson Cancer Center; Simon Fraser University; University of Hong Kong; University of Texas System; UTMD Anderson Cancer Center
摘要：We propose a curve-free random-effects meta-analysis approach to combining data from multiple phase I clinical trials to identify an optimal dose. Our method accounts for between-study heterogeneity that may stem from different study designs, patient populations, or tumor types. We also develop a meta-analytic-predictive (MAP) method, based on a power prior, that incorporates data from multiple historical studies into the design and conduct of a new phase I trial. Performances of the proposed ...
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作者：Whiteman, Andrew S.; Bartsch, Andreas J.; Kang, Jian; Johnson, Timothy D.
作者单位：University of Michigan System; University of Michigan; Ruprecht Karls University Heidelberg
摘要：Neuroradiologists and neurosurgeons increasingly opt to use functional magnetic resonance imaging (fMRI) to map functionally relevant brain re-gions for noninvasive presurgical planning and intraoperative neuronaviga-tion. This application requires a high degree of spatial accuracy, but the fMRI signal-to-noise ratio (SNR) decreases as spatial resolution increases. In prac-tice, fMRI scans can be collected at multiple spatial resolutions, and it is of interest to make more accurate inference o...
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作者：Tullio, Federico; Bartolucci, Francesco
作者单位：European Central Bank; Bank of Italy; University of Perugia
摘要：To assess the effectiveness of remittances on the poverty level of recipient households, we propose a causal inference approach that may be applied with longitudinal data and time-varying treatments. The method relies on the integration of a propensity score based technique, the inverse propensity weighting, with a general latent Markov (LM) framework. It is particularly useful when the outcome of interest is a characteristic that is not directly observable, and the analysis is focused on: (i)...
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作者：Tang, Chen; Shang, Han Lin; Yang, Yanrong
作者单位：Australian National University; Macquarie University
摘要：Modeling and forecasting homogeneous age-specific mortality rates of multiple countries could lead to improvements in long-term forecasting. Data fed into joint models are often grouped according to nominal attributes, such as geographic regions, ethnic groups, and socioeconomic status, which may still contain heterogeneity and deteriorate the forecast results. Our paper proposes a novel clustering technique to pursue homogeneity among multiple functional time series, based on functional panel...
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作者：Kipnis, Alon
作者单位：Stanford University
摘要：We adapt the higher criticism (HC) goodness-of-fit test to measure the closeness between word-frequency tables. We apply this measure to authorship attribution challenges, where the goal is to identify the author of a document using other documents whose authorship is known. The method is simple yet performs well without handcrafting and tuning, reporting accuracy at the state-of-the-art level in various current challenges. As an inherent side effect, the HC calculation identifies a subset of ...
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作者：Rahman, Tanbin; Huang, Hsin-En; Li, Yujia; Tai, An-Shun; Hseih, Wen-Ping; McClung, Colleen A.; Tseng, George
作者单位：Pennsylvania Commonwealth System of Higher Education (PCSHE); University of Pittsburgh; National Tsing Hua University; Pennsylvania Commonwealth System of Higher Education (PCSHE); University of Pittsburgh
摘要：Supervised machine learning methods have been increasingly used in biomedical research and clinical practice. In transcriptomic applications, RNA-seq data have become dominating and have gradually replaced traditional microarray, due to their reduced background noise and increased digital precision. Most existing machine learning methods are, however, designed for continuous intensities of microarray and are not suitable for RNA-seq count data. In this paper we develop a negative binomial mode...
