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Standardisation or modelling of mortality rates

S de Mateo1, E Regidor

  • 1National Centre of Epidemiology, Carlos III, Institute of Health, Madrid, Spain.

Journal of Epidemiology and Community Health
|December 1, 1996
PubMed
Summary

Poisson regression offers a faster and effective alternative to stratified analysis for comparing standardized mortality rates. This statistical method provides comparable results with significantly reduced calculation time.

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Area of Science:

  • Epidemiology
  • Biostatistics

Background:

  • Standardized mortality rates are crucial for epidemiological comparisons.
  • Conventional stratified analysis is a common but time-consuming method for rate estimation.

Purpose of the Study:

  • To compare the accuracy and speed of Poisson regression versus stratified analysis for estimating standardized mortality rates.
  • To evaluate the efficiency of these statistical techniques in epidemiological research.

Main Methods:

  • A cross-sectional study comparing motor vehicle accident mortality trends in Spanish males (1985-1992).
  • Utilized stratified analysis with a spreadsheet and Poisson regression with the EGRET statistical program.
  • Both methods were assessed for calculation speed and result comparability.

Main Results:

  • Poisson regression completed calculations in 15 minutes, significantly faster than stratified analysis (2 hours).
  • Stratified analysis yielded a single estimate per year.
  • Poisson regression identified an interaction term between age and year in the best-fit model.

Conclusions:

  • Poisson regression is a viable and efficient alternative to stratified analysis for comparing mortality rates standardized by one or two variables.
  • The speed advantage of Poisson regression can enhance the efficiency of epidemiological analyses.

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