Bayesian approaches to disease mapping

Authors:
  • JWJ. C. Wakefield
    J. C. Wakefield
  • NBN. G. Best
    N. G. Best
  • LWL. Waller
    L. Waller

Abstract
This chapter examines the underlying assumptions of Bayesian methods for disease mapping and discusses mathematical details. The chapter proceeds as follows. Section 7.2 describes a three-state hierarchical model within which disease mapping data may be viewed. Section 7.3 considers implementation and simulation-based techniques. Section 7.4 provides two illustrative examples of the use of Bayesian disease mapping models. Section 7.5 considers some extensions and alternative approaches to the models presented. Section 7.6 provides a concluding discussion.

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