1期

最新文章

• QUANTIFYING REPLICABILITY OF MULTIPLE STUDIES IN A META-ANALYSIS AI翻译
  作者：Xiao, Mengli; Chu, Haitao; Hodges, James S.; Lin, Lifeng
  作者单位：University of Colorado System; University of Colorado Anschutz Medical Campus; Pfizer; Pfizer USA; University of Minnesota System; University of Minnesota Twin Cities; University of Arizona
  摘要：For valid scientific discoveries, it is fundamental to evaluate whether research findings are replicable across different settings. While large-scale replication projects across broad research topics are not feasible, systematic reviews and meta-analyses (SRMAs) offer viable alternatives to assess replicability. Due to subjective inclusion and exclusion of studies, SRMAs may contain nonreplicable study findings. However, there is no consensus on rigorous methods to assess the replicability of ...
• BAYESIAN MULTIPLE INSTANCE CLASSIFICATION BASED ON HIERARCHICAL PROBIT REGRESSION AI翻译
  作者：Xiong, Danyi; Park, Seongoh; Lim, Johan; Wang, Tao; Wang, Xinlei
  作者单位：Southern Methodist University; Sungshin Women's University; Seoul National University (SNU); University of Texas System; University of Texas Southwestern Medical Center; University of Texas System; University of Texas Arlington
  摘要：In multiple instance learning (MIL), the response variable is predicted by features (or covariates) of one or more instances, which are collectively denoted as a bag. Learning the relationship between bags and instances is challenging because of the unknown and possibly complicated data generating mechanism regarding how instances contribute to the bag label. MIL has been applied to solve a variety of real -world problems, which have been mostly focused on supervised tasks, such as molecule ac...
• A BAYESIAN SPATIO-TEMPORAL LEVEL SET DYNAMIC MODEL AND APPLICATION TO FIRE FRONT PROPAGATION AI翻译
  作者：Yoo, Myungsoo; Wikle, Christopher K.
  作者单位：University of Missouri System; University of Missouri Columbia
  摘要：Intense wildfires impact nature, humans, and society, causing catastrophic damage to property and the ecosystem as well as the loss of life. Forecasting wildfire front propagation and understanding the behavior of wildfire propagation within a formal uncertainty quantification framework are essential in order to support fire fighting efforts and plan evacuations. The level set method has been widely used to analyze the change in surfaces, shapes, and boundaries. In particular, a signed distanc...
• USING SIMULTANEOUS REGRESSION CALIBRATION TO STUDY THE EFFECT OF MULTIPLE ERROR-PRONE EXPOSURES ON DISEASE RISK UTILIZING BIOMARKERS DEVELOPED FROM A CONTROLLED FEEDING STUDY AI翻译
  作者：Zhang, Yiwen; Dai, Ran; Huang, Ying; Prentice, Ross; Zheng, Cheng
  作者单位：University of Wisconsin System; University of Wisconsin Milwaukee; University of Nebraska System; University of Nebraska Medical Center; Fred Hutchinson Cancer Center
  摘要：Systematic measurement error in self -reported data creates important challenges in association studies between dietary intakes and chronic disease risks, especially when multiple dietary components are studied jointly. The joint regression calibration method has been developed for measurement error correction when objectively measured biomarkers are available for all dietary components of interest. Unfortunately, objectively measured biomarkers are only available for very few dietary componen...
• WEAK SIGNAL INCLUSION UNDER DEPENDENCE AND APPLICATIONS IN GENOME-WIDE ASSOCIATION STUDY AI翻译
  作者：Jeng, X. Jessie; Hu, Yifei; Sun, Quan; Li, Yun
  作者单位：North Carolina State University; University of North Carolina; University of North Carolina Chapel Hill; University of North Carolina School of Medicine; University of North Carolina; University of North Carolina Chapel Hill; University of North Carolina School of Medicine
  摘要：In this study we present a data -driven method called false negative control (FNC) screening to address the challenge of detecting weak signals in underpowered genome-wide association studies (GWASs), where true signals are often obscured by a large amount of noise. Our approach focuses on controlling false negatives and efficiently regulates the proportion of false negatives at a user -specified level in realistic settings with arbitrary covariance dependence between variables. We calibrate o...
• A BEHAVIORAL APPROACH TO REPEATED BAYESIAN SECURITY GAMES AI翻译
  作者：Caballero, William; Cooley, Jake; Banks, David; Jenkins, Phillip
  作者单位：United States Department of Defense; United States Air Force; Duke University; Air Force Institute of Technology (AFIT)
  摘要：The prevalence of security threats to organizational defense demands models that support real -world policymaking. Security games are a potent tool in this regard; however, although canonical models effectively allocate limited resources, they generally do not consider adaptive, boundedly rational adversaries. Empirical findings suggest this characterization describes real -world human behavior, so the development of decision -support frameworks against such adversaries is a critical need. We ...
• A PARTIALLY FUNCTIONAL LINEAR REGRESSION FRAMEWORK FOR INTEGRATING GENETIC, IMAGING, AND CLINICAL DATA AI翻译
  作者：Li, Ting; Yu, Yang; Marron, J. S.; Zhu, Hongtu
  作者单位：Shanghai University of Finance & Economics; University of North Carolina; University of North Carolina Chapel Hill; University of North Carolina; University of North Carolina Chapel Hill
  摘要：This paper is motivated by the joint analysis of genetic, imaging, and clinical (GIC) data collected in the Alzheimer's Disease Neuroimaging Initiative (ADNI) study. We propose a partially functional linear regression (PFLR) framework to map high -dimensional GIC-related pathways for Alzheimer's disease (AD). We develop a joint model selection and estimation procedure by embedding imaging data in the reproducing kernel Hilbert space and imposing the t0 penalty for the coefficients of genetic v...
• A CONTINUOUS MULTIPLE HYPOTHESIS TESTING FRAMEWORK FOR OPTIMAL EXOPLANET DETECTION AI翻译
  作者：Hara, Nathan C.; De Poyferre, Thibault; Delisle, Jean-Baptiste; Hoffmann, Marc
  作者单位：University of California System; University of California Berkeley; Universite PSL; Universite Paris-Dauphine
  摘要：When searching for exoplanets, one wants to count how many planets orbit a given star, and to determine what their characteristics are. If the estimated planet characteristics are too far from those of a planet truly present, this should be considered as a false detection. This setting is a particular instance of a general one: aiming to retrieve parametric components in a dataset corrupted by nuisance signals, with a certain accuracy on their parameters. We exhibit a detection criterion minim...
• ESTIMATING FIBER ORIENTATION DISTRIBUTION WITH APPLICATION TO STUDY BRAIN LATERALIZATION USING HCP D-MRI DATA AI翻译
  作者：Hwang, Seungyong; Lee, Thomas C. M.; Paul, Debashis; Peng, Jie
  作者单位：University of California System; University of California Davis
  摘要：Diffusion -weighted magnetic resonance imaging (D-MRI) is an in vivo and noninvasive imaging technology for characterizing tissue microstructure in biological samples. A major application of D-MRI is for white matter fiber tract reconstruction in brains. It begins by estimating the water molecule movements (serving as proxies for fiber directions) in the brain voxels and then combines the results to form fiber tracts. The voxel-level fiber direction information can be modeled by a fiber orient...
• DISTRIBUTED PROPORTIONAL LIKELIHOOD RATIO MODEL WITH APPLICATION TO DATA INTEGRATION ACROSS CLINICAL SITES AI翻译
  作者：Luo, Chongliang; Duan, Rui; Edmondson, Mackenzie; Shi, Jiasheng; Maltenfort, Mitchell; Morris, Jeffrey S.; Forrest, Christopher B.; Hubbard, Rebecca; Chen, Yong
  作者单位：Washington University (WUSTL); Harvard University; Harvard T.H. Chan School of Public Health; University of Pennsylvania; University of Pennsylvania; Pennsylvania Medicine; Childrens Hospital of Philadelphia
  摘要：Real -world evidence synthesis through integration of data from distributed research networks has gained increasing attention in recent years. Due to privacy concerns and restrictions of sharing patient -level data, distributed algorithms that do not require sharing patient level information are in great need for facilitating multisite collaborations. On the other hand, data collected at multiple sites often come from diverse populations, and there exists a substantial amount of heterogeneity ...