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Spatio-Temporal Methods in Environmental Epidemiology

Chapter 11 - The Interplay between space and time in
Exposure assessment

Summary

This chapter introduces the many ways in which the time can be added to space in order to characterise random exposure
fields. From this chapter, the reader will have gained an understanding of the following topics:

  • Additional power that can be gained in an epidemiological study by combining the contrasts in the process over both
    time and space while characterising the stochastic dependencies across both space and time for inferential analysis.
  • Criteria that good approaches to spatio–temporal modelling should satisfy.
  • General strategies for developing such approaches.
  • Separability and non-separability in spatio–temporal models, and how these could be characterised using the Kronecker
    product of correlation matrices.
  • Examples of the use of spatio–temporal models in modelling environmental exposures.

  • Other

    Supplementary Material

    WinBUGS code from Supplementary Material

    • ©Gavin Shaddick and James V. Zidek 2015