Mapping disease and mortality rates using empirical Bayes estimators

J R Stat Soc Ser C Appl Stat. 1991;40(2):283-94.

Abstract

"Methods for estimating regional mortality and disease rates, with a view to mapping disease, are discussed. A new empirical Bayes estimator, with parameters simply estimated by moments, is proposed and compared with iterative alternatives suggested by Clayton and Kaldor." The author develops a local shrinkage estimator in which a crude disease rate is shrunk toward a local, neighborhood rate. The estimators are compared using simulations and an empirical example based on infant mortality data for Auckland, New Zealand.

Publication types

  • Comparative Study

MeSH terms

  • Demography
  • Developed Countries
  • Disease*
  • Evaluation Studies as Topic*
  • Geography*
  • Infant Mortality*
  • Methods*
  • Morbidity*
  • Mortality*
  • New Zealand
  • Pacific Islands
  • Population
  • Population Dynamics
  • Research
  • Statistics as Topic*