505期

最新文章

• A New Estimation Approach for Combining Epidemiological Data From Multiple Sources AI翻译
  作者：Huang, Hui; Ma, Xiamei; Waagepetersen, Rasmus; Holford, Theodore R.; Wang, Rong; Risch, Harvey; Mueller, Lloyd; Guan, Yongtao
  作者单位：University of Miami; Yale University; Aalborg University
  摘要：We propose a novel two-step procedure to combine epidemiological data obtained from diverse sources with the aim to quantify risk factors affecting the probability that an individual develops certain disease such as cancer. In the first step, we derive all possible unbiased estimating functions based on a group of cases and a group of controls each time. In the second step, we combine these estimating functions efficiently to make full use of the information contained in data. Our approach is ...
• Joint Estimation of the Mean and Error Distribution in Generalized Linear Models AI翻译
  作者：Huang, Alan
  作者单位：University of Technology Sydney
  摘要：This article introduces a semiparametric extension of generalized linear models that is based on a full probability model, but does not require specification of an error distribution or variance function for the data. The approach involves treating the error distribution as an infinite-dimensional parameter, which is then estimated simultaneously with the mean-model parameters using a maximum empirical likelihood approach. The resulting estimators are shown to be consistent and jointly asympto...
• Clustered Treatment Assignments and Sensitivity to Unmeasured Biases in Observational Studies AI翻译
  作者：Hansen, Ben B.; Rosenbaum, Paul R.; Small, Dylan S.
  作者单位：University of Michigan System; University of Michigan; University of Pennsylvania
  摘要：Clustered treatment assignment occurs when individuals are grouped into clusters prior to treatment and whole clusters, not individuals, are assigned to treatment or control. In randomized trials, clustered assignments may be required because the treatment must be applied to all children in a classroom, or to all patients at a clinic, or to all radio listeners in the same media market. The most common cluster randomized design pairs 2S clusters into S pairs based on similar pretreatment covari...
• A Methodology for Robust Multiproxy Paleoclimate Reconstructions and Modeling of Temperature Conditional Quantiles AI翻译
  作者：Janson, Lucas; Rajaratnam, Bala
  作者单位：Stanford University; Stanford University; Stanford University
  摘要：Great strides have been made in the field of reconstructing past temperatures based on models relating temperature to temperature-sensitive paleoclimate proxies. One of the goals of such reconstructions is to assess if current climate is anomalous in a millennial context. These regression-based approaches model the conditional mean of the temperature distribution as a function of paleoclimate proxies (or vice versa). Some of the recent focus in the area has considered methods that help reduce ...
• A Nonparametric Approach for Multiple Change Point Analysis of Multivariate Data AI翻译
  作者：Matteson, David S.; James, Nicholas A.
  作者单位：Cornell University; Cornell University
  摘要：Change point analysis has applications in a wide variety of fields. The general problem concerns the inference of a change in distribution for a set of time-ordered observations. Sequential detection is an online version in which new data are continually arriving and are analyzed adaptively. We are concerned with the related, but distinct, offline version, in which retrospective analysis of an entire sequence is performed. For a set of multivariate observations of arbitrary dimension, we consi...
• Landmark Estimation of Survival and Treatment Effect in a Randomized Clinical Trial AI翻译
  作者：Parast, Layla; Tian, Lu; Cai, Tianxi
  作者单位：RAND Corporation; Stanford University; Harvard University
  摘要：In many studies with a survival outcome, it is often not feasible to fully observe the primary event of interest. This often leads to heavy censoring and thus, difficulty in efficiently estimating survival or comparing survival rates between two groups. In certain diseases, baseline covariates and the event time of nonfatal intermediate events may be associated with overall survival. In these settings, incorporating such additional information may lead to gains in efficiency in estimation of s...
• Model Selection via Bayesian Information Criterion for Quantile Regression Models AI翻译
  作者：Lee, Eun Ryung; Noh, Hohsuk; Park, Byeong U.
  作者单位：University of Mannheim; Sookmyung Women's University; Seoul National University (SNU)
  摘要：Bayesian information criterion (BIC) is known to identify the true model consistently as long as the predictor dimension is finite. Recently, its moderate modifications have been shown to be consistent in model selection even when the number of variables diverges. Those works have been done mostly in mean regression, but rarely in quantile regression. The best-known results about BIC for quantile regression are for linear models with a fixed number of variables. In this article, we investigate...
• A Locally Convoluted Cluster Model for Nucleosome Positioning Signals in Chemical Maps AI翻译
  作者：Xi, Liqun; Brogaard, Kristin; Zhang, Qingyang; Lindsay, Bruce; Widom, Jonathan; Wang, Ji-Ping
  作者单位：Northwestern University; Northwestern University; Pennsylvania Commonwealth System of Higher Education (PCSHE); Pennsylvania State University; Pennsylvania State University - University Park
  摘要：The nucleosome is the fundamental packing unit of DNA in eukaryotic cells, and its positioning plays a critical role in regulation of gene expression and chromosome functions. Using a recently developed chemical mapping method, nucleosomes can be potentially mapped with an unprecedented single-base-pair resolution. Existence of overlapping nucleosomes due to cell mixture or cell dynamics, however, causes convolution of nucleosome positioning signals. In this article, we introduce a locally con...
• Parametric Estimation of Ordinary Differential Equations With Orthogonality Conditions AI翻译
  作者：Brunel, Nicolas J-B.; Clairon, Quentin; D'Alche-Buc, Florence
  作者单位：Universite Paris Saclay; Ecole Nationale Superieure d'Informatique pour l'Industrie et l'Entreprise (ENSIIE); INRAE; INRAE; Universite Paris Saclay; Universite Paris Saclay; Universite Paris Saclay; Universite Paris Saclay
  摘要：Differential equations are commonly used to model dynamical deterministic systems in applications. When statistical parameter estimation is required to calibrate theoretical models to data, classical statistical estimators are often confronted to complex and potentially ill-posed optimization problem. As a consequence, alternative estimators to classical parametric estimators are needed for obtaining reliable estimates. We propose a gradient matching approach for the estimation of parametric O...
• Predictor Selection for Positive Autoregressive Processes AI翻译
  作者：Ing, Ching-Kang; Yang, Chiao-Yi
  作者单位：Academia Sinica - Taiwan; National Taiwan University
  摘要：Let observations y(1),..., y(n) be generated from a first-order autoregressive (AR) model with positive errors. In both the stationary and unit root cases, we derive moment bounds and limiting distributions of an extreme value estimator, rho(n), of the AR coefficient. These results enable us to provide asymptotic expressions for the mean squared error (MSE) of rho n and the mean squared prediction error (MSPE) of the corresponding predictor, y(n+1), of y(n+1) Based on these expressions, we com...