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One or more keywords matched the following properties of Lawson, Andrew
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overview Dr. Lawson's research interests lie in the area of spatial and environmental statistics, and in particular, spatio-environmental epidemiology. This area includes disease mapping, ecological analysis and the analysis of clustering of disease. He also has interests in other areas of epidemiology, directional data analysis and object recognition from imaging and geostatistical estimation of random fields with applications in geology, geosciences and medical science.
One or more keywords matched the following items that are connected to Lawson, Andrew
Item TypeName
Academic Article Cluster modelling of disease incidence via RJMCMC methods: a comparative evaluation. Reversible jump Markov chain Monte Carlo.
Academic Article Spatial competing risk models in disease mapping.
Academic Article Evaluating geographic variation in type 1 and type 2 diabetes mellitus incidence in youth in four US regions.
Academic Article Bayesian hierarchical modeling of latent period switching in small-area putative health hazard studies.
Academic Article Applications of extraction mapping in environmental epidemiology.
Academic Article Cluster detection diagnostics for small area health data: with reference to evaluation of local likelihood models.
Academic Article Neighborhood level risk factors for type 1 diabetes in youth: the SEARCH case-control study.
Academic Article Low sex ratios of births in areas at risk from air pollution from incinerators, as shown by geographical analysis and 3-dimensional mapping.
Concept Statistics as Topic
Concept Small-Area Analysis
Academic Article Prior choice in discrete latent modeling of spatially referenced cancer survival.
Academic Article The bivariate combined model for spatial data analysis.
Academic Article Editorial.
Academic Article Space-time variation of respiratory cancers in South Carolina: a flexible multivariate mixture modeling approach to risk estimation.
Academic Article Current practices in cancer spatial data analysis: a call for guidance.
Academic Article Bayesian prospective detection of small area health anomalies using Kullback-Leibler divergence.
Academic Article Extensions to Multivariate Space Time Mixture Modeling of Small Area Cancer Data.
Academic Article Spatial small area smoothing models for handling survey data with nonresponse.
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  • Statistics as Topic