A Comparative Analysis of SMR vs. Bayesian Modeling for Calculating Statistically Reliable Relative Risks and Disease Mapping

Young-hee Roh (노영희); Park，   Key Ho (박기호)

A Comparative Analysis of SMR vs. Bayesian Modeling for Calculating Statistically Reliable Relative Risks and Disease Mapping

Journal of the Korean Cartographic Association
Abbr : JKCA
2014, 14(2), pp.107-117
Publisher : The Korean Cartographic Association
Research Area : Social Science > Geography > Geography in general > Cartography

Young-hee Roh ¹, Park， Key Ho ²

¹서울대학교 국토문제연구소
²서울대학교

Accredited

ABSTRACT

In this study, Bayesian methods were applied to stabilize the variance of mortality. We explored and applied several variance stabilizing transformations. As an application study, we produced the maps of prostate cancer mortality in South Korea for the first time. In addition, we made a comparison between the maps of the posterior distribution of mortality and the standardized mortality ratio (SMR). As a result, the relative risks calculated from the Bayesian modeling were found to have more stabilized variance of mortality than SMR. The strength of variability shrinkage of the statistics applying local (spatial) Bayesian modeling that has been developed based on the idea of pooling information from neighboring areas was not larger than other stabilizing transformations.

KEYWORDS

Bayesian disease mapping, Mortality, Standardized mortality ratio (SMR), Relative risk, Prostate cancer

Citation status

* References for papers published after 2023 are currently being built.

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