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http://dx.doi.org/10.5351/KJAS.2004.17.3.431

HGLM and EB Estimation Methods for Disease Mapping  

김영원 (숙명여자대학교 통계학과)
조나경 (숙명여자대학교 통계학과)
Publication Information
The Korean Journal of Applied Statistics / v.17, no.3, 2004 , pp. 431-443 More about this Journal
Abstract
For the purpose of disease mapping, we consider the four small area estimation techniques to estimate the mortality rate of small areas; direct, Empirical estimation with total moment estimator and local moment estimator, Estimation based on hierarchial generalized linear model. The estimators are compared by empirical study based on lung cancer mortality data from 2000 Annual Reports on the Cause of Death Statistics in Gyeongsang-Do and Jeonla-Do published by Korean National Statistical Office. Also he stability and efficiency of these estimators are investigated in terms of mean square deviation as well as variation of estimates.
Keywords
HGLM; Hierarchical generalized linear model; Small area estimation; Disease mapping;
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