The Annals of Applied Statistics

最新文章

• BAYESIAN MODEL-BASED CLUSTERING FOR POPULATIONS OF NETWORK DATA AI翻译
  作者：Mantziou, Anastasia; Lunagomez, Simon; Mitra, Robin
  作者单位：Alan Turing Institute; Instituto Tecnologico Autonomo de Mexico; University of London; University College London
  摘要：There is increasing appetite for analysing populations of network data due to the fast-growing body of applications demanding such methods. While methods exist to provide readily interpretable summaries of heterogeneous network populations, these are often descriptive or ad hoc, lacking any formal justification. In contrast, principled analysis methods often provide results difficult to relate back to the applied problem of interest. Motivated by two complementary applied examples, we develop ...
• INTEGRATING MENDELIAN RANDOMIZATION WITH CAUSAL MEDIATION ANALYSES FOR CHARACTERIZING DIRECT AND INDIRECT EXPOSURE-TO-OUTCOME EFFECTS AI翻译
  作者：Ang, Fan; Hen, Lin s.; Oveisgharan, Shahram; Darbar, Dawood; Bennett, David a.
  作者单位：Tsinghua University; University of Chicago; Rush University; University of Illinois System; University of Illinois Chicago; University of Illinois Chicago Hospital
  摘要：Mendelian randomization (MR) assesses the total effect of exposure on outcome. With the rapidly increasing availability of summary statistics from genome-wide association studies (GWASs), MR leverages existing summary statistics and is widely used to study the causal effects among complex traits and diseases. The total effect in the population is a sum of indirect and direct effects. For complex disease outcomes with complicated etiologies and/or for modifiable exposure traits, there may exist...
• DYNAMIC MODELING AND ONLINE MONITORING OF TENSOR DATA STREAMS WITH APPLICATION TO PASSENGER FLOW SURVEILLANCE AI翻译
  作者：Li, Yifan; Wu, Chunjie; Li, Wendong; Tsung, Fugee; Guo, Jianhua
  作者单位：Nanjing Audit University; Shanghai University of Finance & Economics; East China Normal University; Hong Kong University of Science & Technology; Beijing Technology & Business University
  摘要：Passenger flow surveillance in urban transport systems has emerged as a major global issue for smart city management. Governments are taking proper measures to monitor passenger flow in order to maintain social stability and to prevent unexpected group events. It is critical to develop a passenger flow surveillance system that continuously monitors the passenger flow over time and triggers a signal as soon as the passenger flow begins to deteriorate so that timely government intervention can b...
• A FLEXIBLE MODEL FOR CORRELATED COUNT DATA, WITH APPLICATION TO MULTICONDITION DIFFERENTIAL EXPRESSION ANALYSES OF SINGLE-CELL RNA SEQUENCING DATA AI翻译
  作者：Liu, Yusha; Carbonetto, Peter; Takahama, Michihiro; Gruenbaum, Adam; Xie, Dongyue; Chevrier, Nicolas; Stephens, Matthew
  作者单位：University of North Carolina; University of North Carolina Chapel Hill; University of North Carolina School of Medicine; University of Chicago; University of Chicago; Institute for Health Metrics & Evaluation; University of Washington; University of Washington Seattle; University of Chicago
  摘要：Detecting differences in gene expression is an important part of singlecell RNA sequencing experiments, and many statistical methods have been developed for this aim. Most differential expression analyses focus on comparing expression between two groups (e.g., treatment vs. control). But there is increasing interest in multicondition differential expression analyses in which expression is measured in many conditions and the aim is to accurately detect and estimate expression differences in all...
• WEIGHTED BIOMARKER VARIABILITY IN JOINT ANALYSIS OF LONGITUDINAL AND TIME-TO-EVENT DATA AI翻译
  作者：Wang, Chunyu; Shen, Jiaming; Charalambous, Christiana; Pan, Jianxin
  作者单位：University of Cambridge; MRC Biostatistics Unit; University of Manchester; Beijing Normal University
  摘要：Motivated by the clinical evidence that the biomarker variability may have prognostic value for a related disease, we extend the standard joint model for longitudinal and time-to-event outcomes to incorporate the weighted cumulative effects of both biomarker level and variability on the survival hazard. A mixed-effects model is specified for biomarker observations wherein the subject-specific trajectories are modelled by spline functions with random coefficients. Borrowing ideas from smoothing...
• TENSOR MIXTURE DISCRIMINANT ANALYSIS WITH APPLICATIONS TO SENSOR ARRAY DATA ANALYSIS AI翻译
  作者：Hou, Xuesong; Mai, Qing; Zou, Hui
  作者单位：University of Minnesota System; University of Minnesota Twin Cities; State University System of Florida; Florida State University
  摘要：Sensor arrays are often used to identify chemicals by measuring properly chosen chemical interactions. Machine learning techniques are of vital importance to accurately recognize a chemical based on the sensor array measurements. However, sensor array data often take the form of matrices (i.e, two-way tensors), and the concentration levels may have a complex impact on the measurements. Hence, existing linear and/or vector classification methods may be inadequate for sensor array data. In this ...
• A NEW DESIGN FOR OBSERVATIONAL STUDIES APPLIED TO THE STUDY OF THE EFFECTS OF HIGH SCHOOL FOOTBALL ON COGNITION LATE IN LIFE AI翻译
  作者：Brumberg, Katherine; Small, Dylan s.; Rosenbaum, Paul r.
  作者单位：University of Michigan System; University of Michigan; University of Pennsylvania
  摘要：Do the impacts that occur when playing high school football have concussive effects that accelerate cognitive decline late in life? We examine this possibility using newly available cognitive data describing people in 2020 who graduated high school in 1957. Someone who was 18 in 1957 would be 81 in 2020. For this comparison we develop a new design for an observational study, called a triples design, and discuss its advantages and construction. A triples design consists of M blocks of size 3, w...
• MODELING CURVES AND DERIVATIVES AS PREDICTORS FOR TRAFFIC BREAKDOWN PROBABILITIES AI翻译
  作者：Chiou, Jeng-min; Li, Pai-ling
  作者单位：National Taiwan University; Tamkang University
  摘要：Motivated by an interest in predicting the status of road traffic congestion within a short period, this paper presents a generalized functional linear regression model for predicting traffic breakdown probabilities. In this model, traffic congestion status is the response variable, and we utilize the observed traffic speed trajectories and their first two derivatives as functional predictors, representing different features of a random function. While the derivatives of a trajectory may conta...
• QUANTILE REGRESSION DECOMPOSITION ANALYSIS OF DISPARITY RESEARCH USING COMPLEX SURVEY DATA: APPLICATION TO DISPARITIES IN BMI AND TELOMERE LENGTH BETWEEN US MINORITY AND WHITE POPULATION GROUPS AI翻译
  作者：Hong, Hyokyoung G.; Graubard, Barry I.; Gastwirth, Joseph L.; Kim, Mi- Ok
  作者单位：National Institutes of Health (NIH) - USA; NIH National Cancer Institute (NCI); NIH National Cancer Institute- Division of Cancer Epidemiology & Genetics; George Washington University; University of California System; University of California San Francisco
  摘要：We develop a quantile regression decomposition (QRD) method for analyzing observed disparities (OD) between population groups in socioeconomic and health-related outcomes for complex survey data. The conventional decomposition approaches use the conditional mean regression to decompose the disparity into two parts, the part explained by the difference arising from the different distributions in the explanatory covariates and the remaining part, which is unexplained by the covariates. Many soci...
• 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...