3期

最新文章

• A LATENT PROCESS MODEL FOR MONITORING PROGRESS TOWARD HARD-TO-MEASURE TARGETS WITH APPLICATIONS TO MENTAL HEALTH AND ONLINE EDUCATIONAL ASSESSMENTS AI翻译
  作者：Jeon, Minjeong; Schweinberger, Michael
  作者单位：University of California System; University of California Los Angeles; Pennsylvania Commonwealth System of Higher Education (PCSHE); Pennsylvania State University; Pennsylvania State University - University Park
  摘要：The recent shift to remote learning and work has aggravated longstanding problems, such as the problem of monitoring the mental health of individuals and the progress of students toward learning targets. We introduce a novel latent process model with a view to monitoring the progress of individuals toward a hard-to-measure target of interest and measured by a set of variables. The latent process model is based on the idea of embedding both individuals and variables measuring progress toward th...
• 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...
• 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...
• BIVARIATE FUNCTIONAL PATTERNS OF LIFETIME MEDICARE COSTS AMONG ESRD PATIENTS AI翻译
  作者：Wang, Yue; Nan, Bin; Kalbfleisch, John D.
  作者单位：University of California System; University of California Irvine; University of Michigan System; University of Michigan
  摘要：In this work we study the lifetime Medicare spending patterns of patients with end-stage renal disease (ESRD). We extract the information of patients who started their ESRD services in 2007-2011 from the United States Renal Data System (USRDS). Patients are partitioned into three groups based on their kidney transplant status: 1-unwaitlisted and never transplanted, 2waitlisted but never transplanted, and 3-waitlisted and then transplanted. To study their Medicare cost trajectories, we use a se...
• AN INTEGRATIVE NETWORK-BASED MEDIATION MODEL (NMM) TO ESTIMATE MULTIPLE GENETIC EFFECTS ON OUTCOMES MEDIATED BY FUNCTIONAL CONNECTIVITY AI翻译
  作者：Dai, Wei; Zhang, Heping
  作者单位：Yale University
  摘要：Functional connectivity of the brain, characterized by interconnected neural circuits across functional networks, is a cutting-edge feature in neuroimaging. It has the potential to mediate the effect of genetic variants on behavioral outcomes or diseases. Existing mediation analysis methods can evaluate the impact of genetics and brain structure/function on cognitive behavior or disorders, but they tend to be limited to single genetic variants or univariate mediators, without considering cumul...
• LEARNING AND FORECASTING OF AGE-SPECIFIC PERIOD MORTALITY VIA B-SPLINE PROCESSES WITH LOCALLY-ADAPTIVE DYNAMIC COEFFICIENTS AI翻译
  作者：Pavone, Federico; Legramanti, Sirio; Durante, Daniele
  作者单位：Bocconi University; University of Bergamo
  摘要：Although the analysis of human mortality has a well-established history, the attempt to accurately forecast future death-rate patterns for different age groups and time horizons still attracts active research. Such a predictive focus has motivated an increasing shift toward more flexible representations of age-specific period mortality trajectories at the cost of reduced interpretability. Although this perspective has led to successful predictive strategies, the inclusion of interpretable stru...