3期

最新文章

• MULTISCALE POISSON PROCESS APPROACHES FOR DETECTING AND ESTIMATING DIFFERENCES FROM HIGH-THROUGHPUT SEQUENCING ASSAYS AI翻译
  作者：Shim, Heejung; Xing, Zhengrong; Pantaleo, Ester; Luca, Francesca; Pique-Regi, Roger; Stephens, Matthew
  作者单位：University of Melbourne; University of Chicago; Wayne State University; Wayne State University; Wayne State University; University of Chicago
  摘要：Estimating and testing for differences in molecular phenotypes (e.g., gene expression, chromatin accessibility, transcription factor binding) across conditions is an important part of understanding the molecular basis of gene regulation. These phenotypes are commonly measured using high-throughput high-resolution count data that reflect how the phenotypes vary along the genome. Multiple methods have been proposed to help exploit these highresolution measurements for differential expression ana...
• SEMIPARAMETRIC ESTIMATION FOR DYNAMIC NETWORKS WITH SHIFTED CONNECTING INTENSITIES AI翻译
  作者：Zhang, Zitong; Chen, Shizhe
  作者单位：University of California System; University of California Davis
  摘要：Neural circuits are of paramount importance in the nervous system, as they are the essential infrastructure in guiding animal behavior. However, modeling the development of neural circuits poses significant challenges due to inherent properties of the development process. First, the neural circuit development process is transient, where the course of development can only be observed once. Second, despite potentially sharing similar underlying mechanisms for development, neural circuits from di...
• PREDICTION INTERVALS FOR ECONOMIC FIXED-EVENT FORECASTS AI翻译
  作者：Krueger, Fabian; Plett, Hendrik
  作者单位：Helmholtz Association; Karlsruhe Institute of Technology; Swiss Federal Institutes of Technology Domain; ETH Zurich
  摘要：The fixed-event forecasting setup is common in economic policy. It involves a sequence of forecasts of the same (fixed) predictand so that the difficulty of the forecasting problem decreases over time. Fixed-event point forecasts are typically published without a quantitative measure of uncertainty. To construct such a measure, we consider forecast postprocessing techniques tailored to the fixed-event case. We develop regression methods that impose constraints motivated by the problem at hand ...
• JOINT MIXED MEMBERSHIP MODELING OF MULTIVARIATE LONGITUDINAL AND SURVIVAL DATA FOR LEARNING THE INDIVIDUALIZED DISEASE PROGRESSION AI翻译
  作者：He, Yuyang; Song, Xinyuan; Kang, Kai
  作者单位：Chinese University of Hong Kong; Sun Yat Sen University
  摘要：Patients with Alzheimer's disease (AD) often exhibit substantial heterogeneity in disease progression due to multiple genetic causes for such a complex disease. Investigating diverse subtypes of neurodegeneration and individualized disease progression is essential for early diagnosis and precision medicine. In this article we present a novel joint mixed membership model for multivariate longitudinal AD-related biomarkers and time of AD diagnosis. Unlike conventional finite mixture models that ...
• LATENT CONJUNCTIVE BAYESIAN NETWORK: UNIFY ATTRIBUTE HIERARCHY AND BAYESIAN NETWORK FOR COGNITIVE DIAGNOSIS AI翻译
  作者：Lee, Seunghyun; Gu, Yuqi
  作者单位：Columbia University
  摘要：Cognitive diagnostic assessment aims to measure specific knowledge structures in students. To model data arising from such assessments, cognitive diagnostic models with discrete latent variables have gained popularity in educational and behavioral sciences. In a learning context, the latent variables often denote sequentially acquired skill attributes, which is often modeled by the so-called attribute hierarchy method. One drawback of the traditional attribute hierarchy method is that its para...
• A NONPARAMETRIC MIXED-EFFECTS MIXTURE MODEL FOR PATTERNS OF CLINICAL MEASUREMENTS ASSOCIATED WITH COVID-19 AI翻译
  作者：Ma, Xiaoran; Guo, Wensheg; Gu, Mengyang; Usvyat, Len; Kotanko, Peter; Wang, Yuedong
  作者单位：University of California System; University of California Santa Barbara; University of Pennsylvania; Renal Research Institute
  摘要：Some patients with COVID-19 show changes in signs and symptoms, such as temperature and oxygen saturation days before being positively tested for SARS-CoV-2, while others remain asymptomatic. It is important to identify these subgroups and to understand what biological and clinical predictors are related to these subgroups. This information will provide insights into how the immune system may respond differently to infection and can further be used to identify infected individuals. We propose ...
• A NOVEL BAYESIAN MODEL FOR ASSESSING INTRATUMOR HETEROGENEITY OF TUMOR INFILTRATING LEUKOCYTES WITH MULTIREGION GENE EXPRESSION SEQUENCING AI翻译
  作者：Yang, Peng; Hubert, Shawna M.; Futreal, P. Andrew; Song, Xingzhi; Zhang, Jianhua; Lee, J. Jack; Wistuba, Ignacio; Yuan, Ying; Zhang, Jianjun; Li, Ziyi
  作者单位：Rice University; University of Texas System; UTMD Anderson Cancer Center; University of Texas System; UTMD Anderson Cancer Center; University of Texas System; UTMD Anderson Cancer Center; University of Texas System; UTMD Anderson Cancer Center
  摘要：Intratumor heterogeneity (ITH) of tumor-infiltrated leukocytes (TILs) is an important phenomenon of cancer biology with potentially profound clinical impacts. Multiregion gene expression sequencing data provide a promising opportunity that allows for explorations of TILs and their intratumor heterogeneity for each subject. Although several existing methods are available to infer the proportions of TILs, considerable methodological gaps exist for evaluating intratumor heterogeneity of TILs with...
• SEMIPARAMETRIC LINEAR REGRESSION WITH AN INTERVAL-CENSORED COVARIATE IN THE ATHEROSCLEROSIS RISK IN COMMUNITIES STUDY AI翻译
  作者：Sizelove, Richard; Zeng, Donglin; Lin, Dan -yu
  作者单位：University of North Carolina; University of North Carolina Chapel Hill; University of Michigan System; University of Michigan
  摘要：In longitudinal studies, investigators are often interested in understanding how the time since the occurrence of an intermediate event affects a future outcome. The intermediate event is often asymptomatic such that its occurrence is only known to lie in a time interval induced by periodic examinations. We propose a linear regression model that relates the time since the occurrence of the intermediate event to a continuous response at a future time point through a rectified linear unit activa...
• JOINT MODELING OF MULTISTATE AND NONPARAMETRIC MULTIVARIATE LONGITUDINAL DATA AI翻译
  作者：You, Lu; Salami, Falastin; Torn, Carina; Lernmark, Ake; Tamura, Roy
  作者单位：State University System of Florida; University of South Florida; Lund University
  摘要：It is oftentimes the case in studies of disease progression that subjects can move into one of several disease states of interest. Multistate models are an indispensable tool to analyze data from such studies. The Environmental Determinants of Diabetes in the Young (TEDDY) is an observational study of at-risk children from birth to onset of type-1 diabetes (T1D) up through the age of 15. A joint model for simultaneous inference of multistate and multivariate nonparametric longitudinal data is ...
• BENEFITS AND COSTS OF MATCHING PRIOR TO A DIFFERENCE IN DIFFERENCES ANALYSIS WHEN PARALLEL TRENDS DOES NOT HOLD AI翻译
  作者：Ham, Dae Woong; Miratrix, Luke
  作者单位：Harvard University; Harvard University
  摘要：The consequence of a change in school leadership (e.g., principal turnover) on student achievement has important implications for education policy. The impact of such an event can be estimated via the popular difference in difference (DiD) estimator, where those schools with a turnover event are compared to a selected set of schools that did not have such an event. The strength of this comparison depends on the plausibility of the parallel trends assumption that the treated group of those scho...