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http://dx.doi.org/10.7465/jkdi.2016.27.5.1169

Cancer incidence and mortality estimations in Busan by using spatial multi-level model  

Ko, Younggyu (Department of Statistics, Pukyong National University)
Han, Junhee (Division of Biostatistics, Pusan National University Yangsan Hospital)
Yoon, Taeho (Department of Occupational and Preventive Medicine, Pusan National University School of Medicine)
Kim, Changhoon (Department of Occupational and Preventive Medicine, Pusan National University School of Medicine)
Noh, Maengseok (Department of Statistics, Pukyong National University)
Publication Information
Journal of the Korean Data and Information Science Society / v.27, no.5, 2016 , pp. 1169-1182 More about this Journal
Abstract
Cancer is a typical cause of death in Korea that becomes a major issue in health care. According to Cause of Death Statistics (2014) by National Statistical Office, SMRs (standardized mortality rates) in Busan were counted as the highest among all cities. In this paper, we used data of Busan Regional Cancer Center to estimate the extent of the cancer incidence rate and cancer mortality rate. The data are considered in small areas of administrative units such as Gu/Dong from years 2003 to 2009. All cancer including four major cancers (stomach cancer, colorectal cancer, lung cancer, liver cancer) have been analyzed. We carried out model selection and parameter estimation using spatial multi-level model incorporating a spatial correlation. For the spatial effects, CAR (conditional autoregressive model) has been assumed.
Keywords
Bayesian inference; multi-level model; small area estimation; spatial generalized linear mixed model; spatial model;
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Times Cited By KSCI : 4  (Citation Analysis)
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