The Annals of Applied Statistics

最新文章

• FEDERATED LEARNING OF ROBUST INDIVIDUALIZED DECISION RULES WITH APPLICATION TO HETEROGENEOUS MULTIHOSPITAL SEPSIS POPULATION AI翻译
  作者：Chen, Xinlei; Talisa, Victor B.; Tan, Xiaoqing; Qi, Zhengling; Kennedy, Jason N.; Chang, Chung-Chou H.; Seymour, Christopher W.; Tang, Lu
  作者单位：Pennsylvania Commonwealth System of Higher Education (PCSHE); University of Pittsburgh; Pennsylvania Commonwealth System of Higher Education (PCSHE); University of Pittsburgh; George Washington University; Pennsylvania Commonwealth System of Higher Education (PCSHE); University of Pittsburgh
  摘要：Sepsis is a life-threatening condition affecting millions of individuals in the U.S. each year. The complexity of sepsis clinical management makes individualized treatment approaches desirable. The University of Pittsburgh Medical Center (UPMC) has collected electronic health records data of sepsis patients from multiple hospitals. The goal of this study is to derive individualized decision rules (IDRs) that could be safely applied to and uniformly improve decision-making across hospitals in t...
• A PÓLYA TREE MODELLING FRAMEWORK FOR BATCH-MARK DATA AI翻译
  作者：Rotous, Ioannis; Diana, Alex; Atechou, Leni
  作者单位：University of London; University College London; University of Essex; University of Kent
  摘要：Wildlife population surveys typically consist of multiple sampling occasions, where individuals are followed over time, enabling estimation of population size and, in open populations, of entry and exit patterns. Batch-mark (BM) surveys, where newly sampled individuals are given the same marking, often unique for each sampling occasion or each sampling period but not for each individual, provide the only viable monitoring tool for many species of amphibians, birds and fish. Modelling BM data f...
• RICE-DISTRIBUTED AUTOREGRESSIVE TIME SERIES MODELING OF MAGNITUDE FUNCTIONAL MRI DATA AI翻译
  作者：Adrian, Daniel W.; Maitra, Ranjan; Rowe, Daniel B.
  作者单位：Grand Valley State University; Iowa State University; Marquette University
  摘要：Functional magnetic resonance imaging (fMRI) data generally consist of time series image volumes of the magnitude of complex-valued observations at each voxel. However, incorporating Gaussian-based time series models and the Rice distribution-a more accurate model for the data-in the time series have been separated by a distributional mismatch. We bridge this gap by including pth-order autoregressive (AR) errors into the Gaussian model for the latent real and imaginary components underlying th...
• IS THE PRICE CAP FOR GAS USEFUL? EVIDENCE FROM EUROPEAN COUNTRIES AI翻译
  作者：Ravazzolo, Francesco; Rossini, Luca
  作者单位：BI Norwegian Business School; Free University of Bozen-Bolzano; University of Milan; Fondazione Mattei
  摘要：Since Russia's invasion of Ukraine, many countries have pledged to end or restrict their oil and gas imports to curtail Moscow's revenues and hinder its war effort. Thus, the European ministers agreed to trigger a cap on the gas price. To detect the importance of the price cap for gas, we provide a mixture representation for the gas price to detect the presence of outliers made by a truncated normal distribution and a uniform one. We focus our analysis on a unique dataset of different commodit...
• A DEEP NEURAL NETWORK TWO-PART MODEL AND FEATURE IMPORTANCE TEST FOR SEMICONTINUOUS DATA AI翻译
  作者：Zou, Baiming; Mi, Xinlei; Wan, Shiyu; Wu, Di; Xenakis, James G.; Hu, Jianhua; Zou, Fei
  作者单位：University of North Carolina; University of North Carolina Chapel Hill; University of North Carolina School of Medicine; Gilead Sciences; Harvard University; Columbia University
  摘要：Semicontinuous data frequently arise in clinical practice. For example, while many surgical patients still suffer from varying degrees of acute postoperative pain (POP) sometime after surgery (i.e., POP score > 0), others experience none (i.e., POP score = 0), indicating the existence of two distinct data processes at play. Existing parametric or semiparametric two-part modeling methods for this type of semicontinuous data can fail to appropriately model the two underlying data processes, as s...
• RISK SET MATCHED DIFFERENCE-IN-DIFFERENCES FOR THE ANALYSIS OF EFFECT MODIFICATION IN AN OBSERVATIONAL STUDY ON THE IMPACT OF GUN VIOLENCE ON HEALTH OUTCOMES AI翻译
  作者：Cohn, Eric R.; Song, Zirui; Zubizarreta, Jose R.
  作者单位：Harvard University; Harvard T.H. Chan School of Public Health; Harvard University; Harvard University; Harvard University; Harvard University
  摘要：Gun violence is a major source of injury and death in the United States. However, relatively little is known about the effects of firearm injuries on survivors and their family members and how these effects vary. To study these questions and, more generally, to address a gap in the methodological causal inference literature, we present a framework for the study of effect modification or heterogeneous treatment effects in difference-in-differences designs. We implement a new matching technique,...
• LOW-RANK LONGITUDINAL FACTOR REGRESSION WITH APPLICATION TO CHEMICAL MIXTURES AI翻译
  作者：Palmer, Glenn; Herring, Amy H.; Dunson, David B.
  作者单位：Duke University
  摘要：Developmental epidemiology commonly focuses on assessing the association between multiple early life exposures and childhood health. Statistical analyses of data from such studies focus on inferring the contributions of individual exposures, while also characterizing time-varying and interacting effects. Such inferences are made more challenging by correlations among exposures, nonlinearity, and the curse of dimensionality. Motivated by studying the effects of prenatal bisphenol A (BPA) and ph...
• A MULTIRUN STEP-STRESS MODEL FOR TREND RENEWAL DATA WITH APPLICATIONS TO LIFETIME ASSESSMENT FOR RECHARGEABLE BATTERIES AI翻译
  作者：Tseng, Sheng-Tsaing; Hsu, Nan-Jung; Wu, Chien-Chi
  作者单位：National Tsing Hua University
  摘要：Conducting a cost-efficient lifetime-testing plan to timely assess lifetime information of a highly reliable product is often a challenging task in the manufacturing industry. Motivated by a case study of rechargeable lithium-ion batteries, this paper introduces a multirun k-level step-stress experiment, running under different stresses in repeated cycles, to collect and analyze the degradation data of reusable highly-reliable products. Specifically, we formulate the battery capacity over rech...
• ESTIMATING PRODUCT CANNIBALISATION IN WHOLESALE USING MULTIVARIATE HAWKES PROCESSES WITH INHIBITION AI翻译
  作者：Deutsch, Isabella; Ross, Gordon J.
  作者单位：University of Edinburgh
  摘要：Product cannibalisation in the marketplace refers to the decrease in the sales of one product due to competition from another product. We examine this phenomenon in a wholesale data set provided by a major international company. We use a multivariate Hawkes process where each product is represented by a dimension, with cross-inhibition effects that model product cannibalisation. To implement the Hawkes process with inhibition, we resolve challenges regarding the integration of the intensity fu...
• COOPERATIVE DIFFERENTIAL NETWORK LEARNING WITH HUB DETECTION FOR MULTICENTER NEUROIMAGING DATA AI翻译
  作者：Chen, Hao; Guo, Dingzi; Guo, Ying; He, Yong; Liu, Dong; Liu, Lei; Yin, Yue; Zhou, Xiao-Hua
  作者单位：Shandong University; Shandong University; Emory University; Rollins School Public Health; Nanyang Technological University; Washington University (WUSTL); Shandong University; Peking University; Peking University; Peking University
  摘要：In this study we focus on Cooperative Differential Network Learning with hub detection (CDNL) for functional Magnetic Resonance Imaging (fMRI) scan from multiple research centers. As research centers may use varying scanners, imaging parameters, and other conditions that introduce heterogeneity, CDNL allows us to analyze fMRI data from various perspectives while identifying shared structures, potentially revealing the underlying mechanisms of neurological diseases. In addition, brain functiona...