Abstract Purpose of Review Measurement error threatens public health by producing bias in
estimates of the population impact of environmental exposures. Quantitative methods to …

Background Spatial epidemiology has been aided by advances in geographic information
systems, remote sensing, global positioning systems and the development of new statistical …

Air pollution epidemiology studies are trending towards a multipollutant approach. In these
studies, exposures at subject locations are unobserved and must be predicted by using …

Metamodels are widely used as fast surrogates to facilitate the optimization of simulation
models. Stochastic kriging (SK) is an effective metamodeling tool for a mean response …

Performing studies on the risks of environmental hazards on human health requires
accurate estimates of exposures that might be experienced by the populations at risk. Often …

In this paper, the problem of combining information from different data sources is
considered. We focus our attention on spatially misaligned data, where available information …

Residual spatial correlation in linear models of environmental data is often attributed to
spatial patterns in related covariates omitted from the fitted model. We connect the …