Empirical Bayes procedures for stabilizing maps of U.S. cancer mortality rates.

Journal Article (Journal Article)

"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."

Full Text

Duke Authors

Cited Authors

  • Manton, KG; Woodbury, MA; Stallard, E; Riggan, WB; Creason, JP; Pellom, AC

Published Date

  • September 1989

Published In

Volume / Issue

  • 84 / 407

Start / End Page

  • 637 - 650

PubMed ID

  • 12155378

Electronic International Standard Serial Number (EISSN)

  • 1537-274X

International Standard Serial Number (ISSN)

  • 0162-1459

Digital Object Identifier (DOI)

  • 10.1080/01621459.1989.10478816


  • eng