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期刊名:Spatial statistics

缩写:SPAT STAT-NETH

ISSN:2211-6753

e-ISSN:N/A

IF/分区:2.5/Q1

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共收录本刊相关文章索引66
Clinical Trial Case Reports Meta-Analysis RCT Review Systematic Review
Classical Article Case Reports Clinical Study Clinical Trial Clinical Trial Protocol Comment Comparative Study Editorial Guideline Letter Meta-Analysis Multicenter Study Observational Study Randomized Controlled Trial Review Systematic Review
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...
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 ...
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...