TY - JOUR
T1 - Bayesian hierarchical modeling of latent period switching in small-area putative health hazard studies
AU - Al-Hadhrami, Ahmed
AU - Lawson, Andrew B.
PY - 2011/2
Y1 - 2011/2
N2 - 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.
AB - 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.
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U2 - 10.1177/0962280210374256
DO - 10.1177/0962280210374256
M3 - Article
C2 - 20798124
AN - SCOPUS:79952936967
SN - 0962-2802
VL - 20
SP - 5
EP - 28
JO - Statistical Methods in Medical Research
JF - Statistical Methods in Medical Research
IS - 1
ER -