Impact of Age, Race and Socio-economic Status on Temporal Trends in Late-Stage Prostate Cancer Diagnosis in Florida [0.03%]
佛罗里达州晚期间质癌诊断的时空趋势及其与年龄、种族和经济社会状态的关系
Pierre Goovaerts,Hong Xiao,Clement K Gwede et al.
Pierre Goovaerts et al.
Individual-level data from the Florida Cancer Data System (1981-2007) were analysed to explore temporal trends of prostate cancer late-stage diagnosis, and how they vary based on race, income and age. Annual census-tract rates were computed...
Exploration of the use of Bayesian modeling of gradients for censored spatiotemporal data from the Deepwater Horizon oil spill [0.03%]
基于Bayesian梯度模型的深水地平线海底石油污染物扩散分布研究
Harrison Quick,Caroline Groth,Sudipto Banerjee et al.
Harrison Quick et al.
This paper develops a hierarchical framework for identifying spatiotemporal patterns in data with a high degree of censoring using the gradient process. To do this, we impute censored values using a sampling-based inverse CDF method within ...
A comparison of spatial smoothing methods for small area estimation with sampling weights [0.03%]
具有抽样权重的小区域估计的空间平滑方法比较
Laina Mercer,Jon Wakefield,Cici Chen et al.
Laina Mercer et al.
Small area estimation (SAE) is an important endeavor in many fields and is used for resource allocation by both public health and government organizations. Often, complex surveys are carried out within areas, in which case it is common for ...
Lucia Paci,Alan E Gelfand,David M Holland
Lucia Paci
The accurate assessment of exposure to ambient ozone concentrations is important for informing the public and pollution monitoring agencies about ozone levels that may lead to adverse health effects. High-resolution air quality information ...
Matthew J Heaton,Alan E Gelfand
Matthew J Heaton
In applications where covariates and responses are observed across space and time, a common goal is to quantify the effect of a change in the covariates on the response while adequately accounting for the spatio-temporal structure of the ob...
Alan E Gelfand
Alan E Gelfand
This short paper is centered on hierarchical modeling for problems in spatial and spatio-temporal statistics. It draws its motivation from the interdisciplinary research work of the author in terms of applications in the environmental scien...