Bayesian hierarchical modeling of latent period switching in small-area putative health hazard studies

Ahmed Al-Hadhrami, Andrew B. Lawson

Research output: Contribution to journalArticle

2 Citations (Scopus)


In recent years, small area risk assessment modelling and data analysis around putative hazard sources has become a fundamental part of public health and environmental sciences. In this study, we address a fundamental problem in the analysis of such data, when intermittent operation of facilities could lead to evidence for latent periods of risk. This study examines the development of Bayesian models for the latent switching operating period of putative hazard sources such as nuclear processing plants and waste disposal incinerators. The developed methodology is applied in a simulation study as well as to a real data example.

Original languageEnglish
Pages (from-to)5-28
Number of pages24
JournalStatistical Methods in Medical Research
Issue number1
Publication statusPublished - Feb 2011


ASJC Scopus subject areas

  • Epidemiology
  • Health Information Management
  • Statistics and Probability

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