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- W99083145 abstract "The purpose of this ecological study is the investigation of the relation of lung cancer mortality and radon in Switzerland, considering confounding risk factors and taking into account the particular spatial structure of the data. We make use of a Bayesian model pioneered by Clayton and Kaldor (1987) and by Besag et al. (1991): The Poisson model for observed mortality rates is extended to include two sources of extra-Poisson variation; a spatially ‘unstructured’ white noise process and a spatially ‘structured’ intrinsic conditional autoregressive process. Under the full model and the restricted models the radon effect is ‘significant’. However, effect estimates and corresponding SE’s vary considerably between models. We discuss and interpret these effects and conclude that there is no single best model explaining the data. Rather, we find that in such complex situations it is preferable to present the sequence of all relevant models to epidemiologists. Only an analysis based on epidemiological knowledge and this range of models allows one to reach an informed conclusion about the risk factor of interest." @default.
- W99083145 created "2016-06-24" @default.
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- W99083145 date "1995-01-01" @default.
- W99083145 modified "2023-09-27" @default.
- W99083145 title "Radon and Lung Cancer Mortality: An Example of a Bayesian Ecological Analysis" @default.
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- W99083145 doi "https://doi.org/10.1007/978-1-4612-0789-4_17" @default.
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