2021

最新文章

• TWO-WAY SPARSITY FOR TIME-VARYING NETWORKS WITH APPLICATIONS IN GENOMICS AI翻译
  作者：Bartlett, Thomas E.; Kosmidis, Ioannis; Silva, Ricardo
  作者单位：University of London; University College London; University of Warwick; Alan Turing Institute
  摘要：We propose a novel way of modelling time-varying networks by inducing two-way sparsity on local models of node connectivity. This two-way sparsity separately promotes sparsity across time and sparsity across variables (within time). Separation of these two types of sparsity is achieved through a novel prior structure which draws on ideas from the Bayesian lasso and from copula modelling. We provide an efficient implementation of the proposed model via a Gibbs sampler, and we apply the model to...
• TENSOR-VARIATE FINITE MIXTURE MODELING FOR THE ANALYSIS OF UNIVERSITY PROFESSOR REMUNERATION AI翻译
  作者：Sarkar, Shuchismita; Melnykov, Volodymyr; Zhu, Xuwen
  作者单位：University System of Ohio; Bowling Green State University; University of Alabama System; University of Alabama Tuscaloosa
  摘要：There has been a long-standing interest in the analysis of university professor salary data. The vast majority of the publications on the topic employ linear regression models in an attempt to predict individual salaries. Indeed, the administration of any academic institution is interested in adequately compensating the faculty to attract and keep the best specialists available on the market. However, higher administration and legislators are not concerned with the matter of individual compens...
• MONITORING VACCINE SAFETY BY STUDYING TEMPORAL VARIATION OF ADVERSE EVENTS USING VACCINE ADVERSE EVENT REPORTING SYSTEM AI翻译
  作者：Huang, Jing; Cai, Yi; Du, Jingcheng; Li, Ruosha; Ellenberg, Susan S.; Hennessy, Sean; Tao, Cui; Chen, Yong
  作者单位：University of Pennsylvania; AT&T; University of Texas System; University of Texas Health Science Center Houston; University of Texas System; University of Texas Health Science Center Houston
  摘要：The Vaccine Adverse Event Reporting System (VAERS) plays a vital role in vaccine safety surveillance. One of the main missions of VAERS is to monitor increases in reporting rate of adverse events, as such signals can indicate safety issues caused by update of vaccines or change in vaccine practices. Existing methods can rarely be used to monitor the temporal variation of reporting adverse events. In this paper we propose a composite likelihood based variance component model to study the tempor...
• ROBUST INFERENCE WHEN COMBINING INVERSE-PROBABILITY WEIGHTING AND MULTIPLE IMPUTATION TO ADDRESS MISSING DATA WITH APPLICATION TO AN ELECTRONIC HEALTH RECORDS-BASED STUDY OF BARIATRIC SURGERY AI翻译
  作者：Thaweethai, Tanayott; Arterburn, David E.; Coleman, Karen J.; Haneuse, Sebastien
  作者单位：Harvard University; Harvard University Medical Affiliates; Massachusetts General Hospital; Kaiser Permanente; Kaiser Permanente; Harvard University; Harvard T.H. Chan School of Public Health
  摘要：While electronic health records present a rich and promising data source for observational research, they are highly susceptible to missing data. For settings like these, Seaman et al. (Biometrics 68 (2012) 129-137) proposed a strategy wherein one handles missingness in some variables using inverse-probability weighting and others using multiple imputation. Seaman et al. (Biometrics 68 (2012) 129-137) show that Rubin's variance estimator for averaging results across datasets is asymptotically ...
• BAYESIAN JOINT MODELING OF CHEMICAL STRUCTURE AND DOSE RESPONSE CURVES AI翻译
  作者：Moran, Kelly R.; Dunson, David; Wheeler, Matthew W.; Herring, Amy H.
  作者单位：Duke University; National Institutes of Health (NIH) - USA; NIH National Institute of Environmental Health Sciences (NIEHS)
  摘要：Today there are approximately 85,000 chemicals regulated under the Toxic Substances Control Act, with around 2,000 new chemicals introduced each year. It is impossible to screen all of these chemicals for potential toxic effects, either via full organism in vivo studies or in vitro high-throughput screening (HTS) programs. Toxicologists face the challenge of choosing which chemicals to screen, and predicting the toxicity of as yet unscreened chemicals. Our goal is to describe how variation in ...
• ADDITIVE STACKING FOR DISAGGREGATE ELECTRICITY DEMAND FORECASTING AI翻译
  作者：Capezza, Christian; Palumbo, Iagio; Goude, Yannig; Wood, Simon N.; Fasiolo, Matteo
  作者单位：University of Naples Federico II; Electricite de France (EDF); University of Edinburgh; University of Bristol
  摘要：Future grid management systems will coordinate distributed production and storage resources to manage, in a cost effective fashion, the increased load and variability brought by the electrification of transportation and by a higher share of weather dependent production. Electricity demand forecasts at a low level of aggregation will be key inputs for such systems. We focus on forecasting demand at the individual household level, which is more challenging than forecasting aggregate demand, due ...
• AN APPROXIMATE BEST PREDICTION APPROACH TO SMALL AREA ESTIMATION FOR SHEET AND RILL EROSION UNDER INFORMATIVE SAMPLING AI翻译
  作者：Berg, Emily; Kim, Jae-Kwang
  作者单位：Iowa State University
  摘要：The National Resources Inventory, a longitudinal survey of characteristics related to natural resources and agriculture on nonfederal U.S. land, has increasingly received requests for substate estimates in recent years. We consider estimation of erosion in subdomains of the Boone-Raccoon River Watershed. This region is of interest for its proximity to intensively cropped areas as well as important waterbodies. The NRI application requires a small area prediction approach that can handle nonlin...
• PROBABILISTIC FORECASTING OF THE ARCTIC SEA ICE EDGE WITH CONTOUR MODELING AI翻译
  作者：Director, Hannah M.; Raftery, Adrian E.; Bitz, Cecilia M.
  作者单位：University of Washington; University of Washington Seattle; University of Washington; University of Washington Seattle; University of Washington; University of Washington Seattle
  摘要：Sea ice, or frozen ocean water, freezes and melts every year in the Arctic. Forecasts of where sea ice will be located weeks to months in advance have become more important as the amount of sea ice declines due to climate change, for maritime planning and other uses. Typical sea ice forecasts are made with ensemble models, physics-based models of sea ice and the surrounding ocean and atmosphere. This paper introduces Mixture Contour Forecasting, a method to forecast sea ice probabilistically u...
• RANDOM-EFFECTS META-ANALYSIS OF PHASE I DOSE-FINDING STUDIES USING STOCHASTIC PROCESS PRIORS AI翻译
  作者：Ursino, Moreno; Roever, Christian; Zohar, Sarah; Friede, Tim
  作者单位：Sorbonne Universite; Institut National de la Sante et de la Recherche Medicale (Inserm); Universite Paris Cite; University of Gottingen; UNIVERSITY GOTTINGEN HOSPITAL
  摘要：Phase I dose-finding studies aim at identifying the maximum tolerated dose (MTD). Often, several dose-finding studies are conducted with some variation in the administration mode or dose panel. For instance, sorafenib (BAY 43-900) was used as monotherapy in 36 phase I trials, according to a recent clinicaltrials.gov search. Since the toxicity may not be directly related to the specific indication, synthesizing the information from several studies might be worthwhile. However, this is rarely do...
• INTEGRATING GEOSTATISTICAL MAPS AND INFECTIOUS DISEASE TRANSMISSION MODELS USING ADAPTIVE MULTIPLE IMPORTANCE SAMPLING AI翻译
  作者：Retkute, Renata; Touloupou, Panayiota; Basanez, Maria-Gloria; Hollingsworth, T. Deirdre; Spencer, Simon E. F.
  作者单位：University of Cambridge; University of Birmingham; Imperial College London; Imperial College London; University of Oxford; University of Warwick; University of Warwick
  摘要：The Adaptive Multiple Importance Sampling algorithm (AMIS) is an iterative technique which recycles samples from all previous iterations in order to improve the efficiency of the proposal distribution. We have formulated a new statistical framework, based on AMIS, to take the output from a geostatistical model of infectious disease prevalence, incidence or relative risk, and project it forward in time under a mathematical model for transmission dynamics. We adapted the AMIS algorithm so that i...