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癌症死亡率的经验贝叶斯估计。

Empirical Bayes estimation of cancer mortality rates.

作者信息

Tsutakawa R K, Shoop G L, Marienfeld C J

出版信息

Stat Med. 1985 Apr-Jun;4(2):201-12. doi: 10.1002/sim.4780040210.

Abstract

Mortality rates for specific cancer types and age-sex groups computed for large numbers of cities typically show extreme fluctuation. This is primarily due to the rare occurrence of specific cancer deaths in most of the small and moderate size cities during a fixed time period. Assuming a Poisson death process, we use an empirical Bayes method to obtain adjusted rates that are more stable for comparison of cities and prediction of future mortality. We have chosen stomach and bladder cancers in Missouri cities to illustrate the problems, techniques and results.

摘要

为大量城市计算的特定癌症类型及年龄-性别组的死亡率通常显示出极大的波动。这主要是由于在固定时间段内,大多数中小规模城市中特定癌症死亡病例罕见。假设死亡过程为泊松分布,我们使用经验贝叶斯方法来获得调整后的比率,以便在城市比较和未来死亡率预测中更稳定。我们选择了密苏里州城市的胃癌和膀胱癌来阐述问题、技术及结果。

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