Spatio–Temporal Methods in Environmental Epidemiology with R
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Spatio–Temporal Methods in Environmental Epidemiology with R
This edition:Includes new chapter on data scienceUpdated material on measurement error, deterministic modeling, infectious diseases, preferential samplingIntroduces modern computational methods, including INLA, together with code for implementationRepresents major new direction in environmental epidemiologyFull color throughoutUnderscores increasing need to consider dependencies in both space and time when modeling epidemiological data.Students learn how to identify and model patterns in spatio-temporal data as well as exploit dependencies over space and time to reduce bias and inefficiency.
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