The Annals of Applied Statistics

最新文章

• COMPOSITIONAL MEDIATION ANALYSIS FOR MICROBIOME STUDIES AI翻译
  作者：Sohn, Michael B.; Li, Hongzhe
  作者单位：University of Pennsylvania
  摘要：Motivated by recent advances in causal mediation analysis and problems in the analysis of microbiome data, we consider the setting where the effect of a treatment on an outcome is transmitted through perturbing the microbial communities or compositional mediators. The compositional and high-dimensional nature of such mediators makes the standard mediation analysis not directly applicable to our setting. We propose a sparse compositional mediation model that can be used to estimate the causal d...
• NONPARAMETRIC TESTING FOR DIFFERENCES IN ELECTRICITY PRICES: THE CASE OF THE FUKUSHIMA NUCLEAR ACCIDENT AI翻译
  作者：Liebl, Dominik
  作者单位：University of Bonn
  摘要：This work is motivated by the problem of testing for differences in the mean electricity prices before and after Germany's abrupt nuclear phaseout after the nuclear disaster in Fukushima Daiichi, Japan, in mid-March 2011. Taking into account the nature of the data and the auction design of the electricity market, we approach this problem using a Local Linear Kernel (LLK) estimator for the nonparametric mean function of sparse covariate-adjusted functional data. We build upon recent theoretical...
• THREE-WAY CLUSTERING OF MULTI-TISSUE MULTI-INDIVIDUAL GENE EXPRESSION DATA USING SEMI-NONNEGATIVE TENSOR DECOMPOSITION AI翻译
  作者：Wang, Miaoyan; Fischer, Jonathan; Song, Yun S.
  作者单位：University of Wisconsin System; University of Wisconsin Madison; University of California System; University of California Berkeley; University of California System; University of California Berkeley; Chan Zuckerberg Initiative (CZI)
  摘要：The advent of high-throughput sequencing technologies has led to an increasing availability of large multi-tissue data sets which contain gene expression measurements across different tissues and individuals. In this setting, variation in expression levels arises due to contributions specific to genes, tissues, individuals, and interactions thereof. Classical clustering methods are ill-suited to explore these three-way interactions and struggle to fully extract the insights into transcriptome ...
• DEVELOPMENT OF A COMMON PATIENT ASSESSMENT SCALE ACROSS THE CONTINUUM OF CARE: A NESTED MULTIPLE IMPUTATION APPROACH AI翻译
  作者：Gu, Chenyang; Gutman, Roee
  作者单位：Harvard University; Brown University; Harvard University; Harvard Medical School
  摘要：Evaluating and tracking patients' functional status through the post-acute care continuum requires a common instrument. However, different post-acute service providers such as nursing homes, inpatient rehabilitation facilities and home health agencies rely on different instruments to evaluate patients' functional status. These instruments assess similar functional status domains, but they comprise different activities, rating scales and scoring instructions. These differences hinder the compar...
• IDENTIFYING AND ESTIMATING PRINCIPAL CAUSAL EFFECTS IN A MULTI-SITE TRIAL OF EARLY COLLEGE HIGH SCHOOLS AI翻译
  作者：Yuan, Lo-Hua; Feller, Avi; Miratrix, Luke W.
  作者单位：Airbnb; University of California System; University of California Berkeley; Harvard University
  摘要：Randomized trials are often conducted with separate randomizations across multiple sites such as schools, voting districts, or hospitals. These sites can differ in important ways, including the site's implementation quality, local conditions, and the composition of individuals. An important question in practice is whether-and under what assumptions-researchers can leverage this cross-site variation to learn more about the intervention. We address these questions in the principal stratification...
• FRECHET ESTIMATION OF TIME-VARYING COVARIANCE MATRICES FROM SPARSE DATA, WITH APPLICATION TO THE REGIONAL CO-EVOLUTION OF MYELINATION IN THE DEVELOPING BRAIN AI翻译
  作者：Petersen, Alexander; Deoni, Sean; Mueller, Hans-Georg
  作者单位：University of California System; University of California Santa Cruz; Brown University; University of California System; University of California Davis
  摘要：Assessing brain development for small infants is important for determining how the human brain grows during the early period of life when the rate of brain growth is at its peak. The development of MRI techniques has enabled the quantification of brain development. A key quantity that can be extracted from MRI measurements is the level of myelination, where myelin acts as an insulator around nerve fibers and its deployment makes nerve pulse propagation more efficient. The co-variation of myeli...
• JOINT MEAN AND COVARIANCE MODELING OF MULTIPLE HEALTH OUTCOME MEASURES AI翻译
  作者：Niu, Xiaoyue; Hoff, Peter D.
  作者单位：Pennsylvania Commonwealth System of Higher Education (PCSHE); Pennsylvania State University; Pennsylvania State University - University Park; Duke University
  摘要：Health exams determine a patient's health status by comparing the patient's measurement with a population reference range, a 95% interval derived from a homogeneous reference population. Similarly, most of the established relation among health problems are assumed to hold for the entire population. We use data from the 2009-2010 National Health and Nutrition Examination Survey (NHANES) on four major health problems in the U.S. and apply a joint mean and covariance model to study how the refere...
• ESTIMATING THE RATE CONSTANT FROM BIOSENSOR DATA VIA AN ADAPTIVE VARIATIONAL BAYESIAN APPROACH AI翻译
  作者：Zhang, Ye; Yao, Zhigang; Forssen, Patrik; Fornstedt, Torgny
  作者单位：Technische Universitat Chemnitz; National University of Singapore; Karlstad University
  摘要：The means to obtain the rate constants of a chemical reaction is a fundamental open problem in both science and the industry. Traditional techniques for finding rate constants require either chemical modifications of the reactants or indirect measurements. The rate constant map method is a modern technique to study binding equilibrium and kinetics in chemical reactions. Finding a rate constant map from biosensor data is an ill-posed inverse problem that is usually solved by regularization. In ...
• DISTRIBUTIONAL REGRESSION FORESTS FOR PROBABILISTIC PRECIPITATION FORECASTING IN COMPLEX TERRAIN AI翻译
  作者：Schlosser, Lisa; Hothorn, Torsten; Stauffer, Reto; Zeileis, Achim
  作者单位：University of Innsbruck; Swiss School of Public Health (SSPH+); University of Zurich
  摘要：To obtain a probabilistic model for a dependent variable based on some set of explanatory variables, a distributional approach is often adopted where the parameters of the distribution are linked to regressors. In many classical models this only captures the location of the distribution but over the last decade there has been increasing interest in distributional regression approaches modeling all parameters including location, scale and shape. Notably, so-called nonhomogeneous Gaussian regres...
• LEARNING ALGORITHMS TO EVALUATE FORENSIC GLASS EVIDENCE AI翻译
  作者：Park, Soyoung; Carriquiry, Alicia
  作者单位：Iowa State University; Iowa State University
  摘要：Glass fragments are often compared in the course of a forensic evaluation using their chemical composition determined with technologies such as LA-ICP-MS. At present forensic scientists advocate the use of two comparison criteria based on univariate intervals around all mean elemental concentrations for fragments originating from a known piece of broken glass. The main drawback of this approach is that it does not consider the dependencies between concentrations. Further, when the elemental co...