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Although the cancer treatment rate has been very high due to the development of modern medicine, the cancer mortality rate in Korea is continuously increasing, and in particular, the cancer death rate in Busan is higher than other regions. In this paper, survival analysis by cancer type was performed on the six major cancer patients in the country using data from cancer patients registered in Busan from 2000 to 2019. For a accurate analysis at small area, a frailty model considering administrative dong as a random effect was fitted. In addition, considering the shortcomings that it is difficult to properly reflect the recent trend due to the fact that many people diagnosed a long time ago, the data were analyzed with the year effect into four periods, and differences by period, cancer type, sex, age, and stage were identified. As a result of fitting the Frailty model with the fixed effect of year, sex, age, and stage as the fixed effect and the variable effect of administrative wards, the heterogeneity between administrative wards was significant. As a result of classifying by period and analyzing recent trends, it was confirmed that the risk of death was generally lower in the second half than in the first half.
Jang et al. (Wed,) studied this question.