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Developments in general and syndromic surveillance for small area health data

Research output: Contribution to journal › Article

10 Citations (Scopus)

Abstract

In this paper we examine a range of issues related to the analysis of health surveillance data when it is spatially-referenced. The importance of considering alarm functions derived from likelihood or Bayesian models is stressed. In addition, we focus on some new developments in predictive distribution residuals in the analysis.
Original languageEnglish
Pages (from-to)963-978
Number of pages16
JournalJournal of Applied Statistics
Volume31
Issue number8
DOIs
Publication statusPublished - 2004

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