Empirical Bayes Procedures for Stabilizing Maps of U.S. Cancer Mortality Rates
作者:
KennethG. Manton,
MaxA. Woodbury,
Eric Stallard,
WilsonB. Riggan,
JohnP. Creason,
AlvinC. Pellom,
期刊:
Journal of the American Statistical Association
(Taylor Available online 1989)
卷期:
Volume 84,
issue 407
页码: 637-650
ISSN:0162-1459
年代: 1989
DOI:10.1080/01621459.1989.10478816
出版商: Taylor & Francis Group
关键词: Age-standardized death rates;Negative binomial distribution
数据来源: Taylor
摘要:
The geographic mapping of age-standardized, cause-specific death rates is a powerful tool for identifying possible etiologic factors, because the spatial distribution of mortality risks can be examined for correlations with the spatial distribution of disease-specific risk factors. This article presents a two-stage empirical Bayes procedure for calculating age-standardized cancer death rates, for use in mapping, which are adjusted for the stochasticity of rates in small area populations. Using the adjusted rates helps isolate and identify spatial patterns in the rates. The model is applied to sex-specific data on U.S. county cancer mortality in the white population for 15 cancer sites for three decades: 1950–1959, 1960–1969, and 1970–1979. Selected results are presented as maps of county death rates for white males.
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