2期

最新文章

• A BAYESIAN HIERARCHICAL SMALL AREA POPULATION MODEL ACCOUNTING FOR DATA SOURCE SPECIFIC METHODOLOGIES FROM AMERICAN COMMUNITY SURVEY, POPULATION ESTIMATES PROGRAM, AND DECENNIAL CENSUS DATA AI翻译
  作者：Peterson, Emily N.; Nethery, Rachel C.; Padellini, Tullia; Chen, Jarvis T.; Coull, Brent A.; Piel, Frederic B.; Wakefield, Jon; Blangiardo, Marta; Waller, Lance A.
  作者单位：Emory University; Rollins School Public Health; Harvard University; Harvard T.H. Chan School of Public Health; Imperial College London; University of Washington; University of Washington Seattle
  摘要：Small area population counts are necessary for many epidemiological studies, yet their quality and accuracy are often not assessed. In the United States, small area population counts are published by the United States Census Bureau (USCB) in the form of the decennial census counts, intercensal population projections (PEP), and American Community Survey (ACS) estimates. Although there are significant relationships between these three data sources, there are important contrasts in data collectio...
• A POPULATION-AWARE RETROSPECTIVE REGRESSION TO DETECT GENOME-WIDE VARIANTS WITH SEX DIFFERENCE IN ALLELE FREQUENCY AI翻译
  作者：Wang, Zhong; Paters, Andrew D.; Sun, Lei
  作者单位：National University of Singapore; University of Toronto; Hospital for Sick Children (SickKids); University of Toronto
  摘要：Sex difference in allele frequency is an emerging topic that is crucial to our understanding of data quality and features, particularly when it comes to the largely overlooked X chromosome. To detect sex differences in allele frequency for both X chromosomal and autosomal variants, the existing method is conservative when applied to samples from multiple ancestral populations. Additionally, it remains unexplored whether the sex difference in allele frequency varies between populations, which i...
• ESTIMATING THE LIKELIHOOD OF ARREST FROM POLICE RECORDS IN PRESENCE OF UNREPORTED CRIMES AI翻译
  作者：Fogliato, Riccardo; Kuchibhotla, Arun Kumar; Lipton, Zachary; Nagin, Daniel; Xiang, Alice; Chouldechova, Alexandra
  作者单位：Amazon.com; Carnegie Mellon University; Carnegie Mellon University; Carnegie Mellon University; Sony Corporation; Sony Deutschland GmbH
  摘要：Many important policy decisions concerning policing hinge on our understanding of how likely various criminal offenses are to result in arrests. Since many crimes are never reported to law enforcement, estimates based on police records alone must be adjusted to account for the likelihood that each crime would have been reported to the police. In this paper we present a methodological framework for estimating the likelihood of arrest from police data that incorporates estimates of crime reporti...
• ATHLETE RATING IN MULTICOMPETITOR GAMES WITH SCORED OUTCOMES VIA MONOTONE TRANSFORMATIONS AI翻译
  作者：Che, Jonathan; Glickman, Mark
  作者单位：Harvard University
  摘要：Sports organizations often want to estimate athlete strengths. For games with scored outcomes, a common approach is to assume observed game scores follow a normal distribution conditional on athletes' latent abilities, which may change over time. In many games, however, this assumption of conditional normality does not hold. To estimate athletes' time -varying latent abilities using nonnormal game score data, we propose a Bayesian dynamic linear model with flexible monotone response transforma...
• VARIANCE AS A PREDICTOR OF HEALTH OUTCOMES: SUBJECT-LEVEL TRAJECTORIES AND VARIABILITY OF SEX HORMONES TO PREDICT BODY FAT CHANGES IN PERI- AND POSTMENOPAUSAL WOMEN AI翻译
  作者：Chen, Irena; Wu, Zhenke; Harlow, Sioban D.; Karvonen-Gutierrez, Carrie A.; Hood, Michelle M.; Elliott, Michael R.
  作者单位：University of Michigan System; University of Michigan; University of Michigan System; University of Michigan
  摘要：Longitudinal biomarker data and cross-sectional outcomes are routinely collected in modern epidemiology studies, often with the goal of informing tailored early intervention decisions. For example, hormones, such as estradiol (E2) and follicle -stimulating hormone (FSH), may predict changes in womens' health during the midlife. Most existing methods focus on constructing predictors from mean marker trajectories. However, subject -level biomarker variability may also provide critical informatio...
• NETWORK METHOD FOR VOXEL-PAIR-LEVEL BRAIN CONNECTIVITY ANALYSIS UNDER SPATIAL-CONTIGUITY CONSTRAINTS AI翻译
  作者：Lu, Tong; Zhang, Yuan; Kochunov, Peter; Hong, Elliot; Chen, Shuo
  作者单位：University System of Maryland; University of Maryland College Park; University System of Ohio; Ohio State University; University System of Maryland; University of Maryland College Park
  摘要：Brain connectome analysis commonly compresses high -resolution brain scans (typically composed of millions of voxels) down to only hundreds of regions of interest (ROIs) by averaging within -ROI signals. This significant dimension reduction improves computational speed and the morphological properties of anatomical structures; however, it comes at the cost of substantial losses in spatial specificity and sensitivity, especially when the signals exhibit high within -ROI heterogeneity. Oftentime...
• MODELING EXTREMAL STREAMFLOW USING DEEP LEARNING APPROXIMATIONS AND A FLEXIBLE SPATIAL PROCESS AI翻译
  作者：Majumder, Reetam; Reich, Brian J.; Shaby, Benjamin A.
  作者单位：North Carolina State University; North Carolina State University; Colorado State University System; Colorado State University Fort Collins
  摘要：Quantifying changes in the probability and magnitude of extreme flooding events is key to mitigating their impacts. While hydrodynamic data are inherently spatially dependent, traditional spatial models, such as Gaussian processes, are poorly suited for modeling extreme events. Spatial extreme value models with more realistic tail dependence characteristics are under active development. They are theoretically justified but give intractable likelihoods, making computation challenging for small ...
• BAYESIAN NESTED LATENT CLASS MODELS FOR CAUSE-OF-DEATH ASSIGNMENT USING VERBAL AUTOPSIES ACROSS MULTIPLE DOMAINS AI翻译
  作者：Li, Zehang Richard; Wu, Zhenke; Chen, Irena; Clark, Samuel J.
  作者单位：University of California System; University of California Santa Cruz; University of Michigan System; University of Michigan; Max Planck Society; University System of Ohio; Ohio State University
  摘要：Understanding cause-specific mortality rates is crucial for monitoring population health and designing public health interventions. Worldwide, twothirds of deaths do not have a cause assigned. Verbal autopsy (VA) is a wellestablished tool to collect information describing deaths outside of hospitals by conducting surveys to caregivers of a deceased person. It is routinely implemented in many low- and middle-income countries. Statistical algorithms to assign cause of death using VAs are typical...
• HIERARCHICAL DEPENDENCE MODELING FOR THE ANALYSIS OF LARGE INSURANCE CLAIMS DATA AI翻译
  作者：Ma, Ting Fung; Cai, Yizhou; Shi, Peng; Zhu, Jun
  作者单位：University of South Carolina System; University of South Carolina Columbia; University of Wisconsin System; University of Wisconsin Madison; University of Wisconsin System; University of Wisconsin Madison
  摘要：Extreme weather events associated with climate change have caused significant damages. In particular, hail storms damage millions of properties in the U.S. and result in billion-dollar insured losses each year in the recent decade. To facilitate the insurance claims management operations in insurance companies, we construct a hierarchical dependence model, which accommodates the complex dependence within and between the outcomes of interests including the propensity of filing a claim, time to ...
• SEMIPARAMETRIC BIVARIATE HIERARCHICAL STATE SPACE MODEL WITH APPLICATION TO HORMONE CIRCADIAN RELATIONSHIP AI翻译
  作者：You, Mengying; Guo, Wensheng
  作者单位：University of Pennsylvania
  摘要：The adrenocorticotropic hormone and cortisol play critical roles in stress regulation and the sleep-wake cycle. Most research has been focused on how the two hormones regulate each other in terms of short-term pulses. Few studies have been conducted on the circadian relationship between the two hormones and how it differs between normal and abnormal groups. The circadian patterns are difficult to model as parametric functions. Directly extending univariate functional mixed effects models would...