The Annals of Applied Statistics

最新文章

• A BAYESIAN GROWTH MIXTURE MODEL FOR COMPLEX SURVEY DATA: CLUSTERING POSTDISASTER PTSD TRAJECTORIES AI翻译
  作者：Anthopolos, Rebecca; Chen, Qixuan; Sedransk, Joseph; Thompson, Mary; Meng, Gang; Galea, Sandro
  作者单位：New York University; Columbia University; University System of Maryland; University of Maryland College Park; University of Waterloo; University of Waterloo; Boston University
  摘要：Research on growth mixture models (GMMs) for analyzing data from a complex sample survey is sparse. Existing methods use pseudo-likelihood in which survey weights are incorporated into the likelihood function, with variance estimated via linearization or resampling techniques. Despite popularity of the pseudo-likelihood approach, weighted estimation introduces the risk of efficiency loss. In this paper we propose a Bayesian GMM for complex survey data in which sample design features, such as s...
• INTEGRATING MULTIPLE BUILT ENVIRONMENT DATA SOURCES AI翻译
  作者：Won, Jung Yeon; Elliott, Michael R.; Sanchez-Vaznaugh, Emma V.; Sanchez, Brisa N.
  作者单位：University of Michigan System; University of Michigan; California State University System; San Francisco State University; Drexel University
  摘要：Studies examining the contribution of the built environment to health often rely on commercial data sources to derive exposure measures, such as the number of specific food outlets in study participants' neighborhoods. Data on the location of community amenities (e.g., food outlets) can be col-lected from multiple sources. However, these commercial listings are known to have ascertainment errors and thus provide conflicting claims about the number and location of amenities. We propose a method...
• TIME-DISCRETIZATION APPROXIMATION ENRICHES CONTINUOUS-TIME DISCRETE-SPACE MODELS FOR ANIMAL MOVEMENT AI翻译
  作者：Hewitt, Joshua; Gelfand, Alan E.; Schick, Robert S.
  作者单位：Duke University; Duke University
  摘要：Continuous time discrete state models are a valuable tool for explaining animal movement. However, data collection to fit such models over a specified window of time can be misaligned with the actual realization of the movement process. This necessitates approximate model fitting, at present, through approximate imputation distributions (AIDs). Here, we propose a direct time-discretization approximation to the likelihood. The approach employs familiar ideas from hidden Markov modeling. Computa...
• SPATIAL QUANTILE AUTOREGRESSION FOR SEASON WITHIN YEAR DAILY MAXIMUM TEMPERATURE DATA AI翻译
  作者：Castillo-Mateo, Jorge; Asin, Jesus; Cebrian, Ana C.; Gelfand, Alan E.; Abaurrea, Jesus
  作者单位：University of Zaragoza; Duke University
  摘要：Regression is the most widely used modeling tool in statistics. Quantile regression offers a strategy for enhancing the regression picture beyond customary mean regression. With time-series data, we move to quantile autoregression and, finally, with spatially referenced time series, we move to spacetime quantile regression. Here, we are concerned with the spatiotemporal evolution of daily maximum temperature, particularly with regard to extreme heat. Our motivating data set is 60 years of dail...
• RANDOMIZATION INFERENCE FOR CLUSTER-RANDOMIZED TEST-NEGATIVE DESIGNS WITH APPLICATION TO DENGUE STUDIES: UNBIASED ESTIMATION, PARTIAL COMPLIANCE, AND STEPPED-WEDGE DESIGN AI翻译
  作者：Wang, Bingkai; Dufault, Suzanne M.; Small, Dylan S.; Jewell, Nicholas P.
  作者单位：University of Pennsylvania; University of California System; University of California San Francisco; University of London; London School of Hygiene & Tropical Medicine
  摘要：In 2019, the World Health Organization identified dengue as one of the top 10 global health threats. For the control of dengue, the Applying Wolbachia to Eliminate Dengue (AWED) study group conducted a cluster -randomized trial in Yogyakarta, Indonesia, and used a novel design, called the cluster-randomized test-negative design (CR-TND). This design can yield valid statistical inference with data collected by a passive surveillance system and thus has the advantage of cost-efficiency compared ...
• CONTINUOUS-TIME MODELLING OF BEHAVIOURAL RESPONSES IN ANIMAL MOVEMENT AI翻译
  作者：Michelot, Theo; Glennie, Richard; Thomas, Len; Quick, Nicola; Harris, Catriona m.
  作者单位：Dalhousie University; University of St Andrews; Duke University
  摘要：There is great interest in ecology to understand how wild animals are affected by anthropogenic disturbances, such as sounds. For example, behavioural response studies are an important approach to quantify the impact of naval activity on marine mammals. Controlled exposure experiments are undertaken where the behaviour of animals is quantified before, during, and after exposure to a controlled sound source, often using telemetry tags (e.g., accelerometers or satellite trackers). Statistical mo...
• TRACKING HEMATOPOIETIC STEM CELL EVOLUTION IN A WISKOTT-ALDRICH CLINICAL TRIAL AI翻译
  作者：Pellin, Danilo; Biasco, Luca; Scala, Serena; Di Serio, Clelia; Wit, Ernst C.
  作者单位：Harvard University; Harvard Medical School; University of London; University College London; Vita-Salute San Raffaele University; IRCCS Ospedale San Raffaele; Fondazione Telethon; San Raffaele Telethon Institute For Gene Therapy (Sr-Tiget); Vita-Salute San Raffaele University; Universita della Svizzera Italiana
  摘要：Hematopoietic stem cells (HSC) are the cells that give rise to all other blood cells and, as such, they are crucial in the healthy development of individuals. Wiskott-Aldrich Syndrome (WAS) is a severe disorder affecting the regulation of hematopoietic cells and is caused by mutations in the WASP gene. We consider data from a revolutionary gene therapy clinical trial, where HSC harvested from three WAS patients' bone marrow have been edited and corrected using viral vectors. Upon reinfusion in...
• BAYESIAN INFERENCE AND DYNAMIC PREDICTION FOR MULTIVARIATE LONGITUDINAL AND SURVIVAL DATA AI翻译
  作者：Zou, Haotian; Zeng, Donglin; Xiao, Luo; Luo, Sheng
  作者单位：University of North Carolina; University of North Carolina Chapel Hill; North Carolina State University; Duke University
  摘要：Alzheimer's disease (AD) is a complex neurological disorder impairing multiple domains such as cognition and daily functions. To better understand the disease and its progression, many AD research studies collect multiple longitudinal outcomes that are strongly predictive of the onset of AD dementia. We propose a joint model based on a multivariate functional mixed model framework (referred to as MFMM-JM) that simultaneously models the multiple longitudinal outcomes and the time to dementia on...
• MODELING CELL POPULATIONS MEASURED BY FLOW CYTOMETRY WITH COVARIATES USING SPARSE MIXTURE OF REGRESSIONS AI翻译
  作者：Hyun, Sangwon; Cape, Mattias Rolf; Ribalet, Francois; Bien, Jacob
  作者单位：University of Southern California; University of Washington; University of Washington Seattle
  摘要：The ocean is filled with microscopic microalgae, called phytoplankton, which together are responsible for as much photosynthesis as all plants on land combined. Our ability to predict their response to the warming ocean relies on understanding how the dynamics of phytoplankton populations is influenced by changes in environmental conditions. One powerful technique to study the dynamics of phytoplankton is flow cytometry which measures the optical properties of thousands of individual cells per...
• DESIGNING EXPERIMENTS FOR ESTIMATING AN APPROPRIATE OUTLET SIZE FOR A SILO TYPE PROBLEM AI翻译
  作者：Lopez-Fidalgo, Jesus; May, Aterina; Moler, Jose Antonio
  作者单位：University of Navarra; Universidad Publica de Navarra
  摘要：Jam formation is a problem that may occur when granular material is discharged by gravity from a silo. The estimation of the minimum outlet size, which guarantees that the time to the next jamming event is long enough, can be crucial in the industry. The time is modeled by an exponential distribution with two unknown parameters, and this goal translates to precise estimation of a nonlinear transformation of the parameters. We obtain c-optimum experimental designs with that purpose, applying th...