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Methods of age adjustment.

J Wahrendorf1

  • 1Institut für Epidemiologie und Biometrie, Deutsches Krebsforschungszentrum, Heidelberg, FRG.

Recent Results in Cancer Research. Fortschritte Der Krebsforschung. Progres Dans Les Recherches Sur Le Cancer
|January 1, 1989
PubMed
Summary

Cancer incidence and mortality statistics require age adjustment for accurate comparison between populations. This paper reviews methods like age-standardized, truncated, and cumulative rates for reliable data presentation.

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Area of Science:

  • Epidemiology
  • Biostatistics

Background:

  • Cancer burden is influenced by population size and age structure.
  • Directly comparing raw cancer incidence or mortality data is misleading.
  • Standardized rates are crucial for epidemiological comparisons.

Purpose of the Study:

  • To review age adjustment methods for cancer statistics.
  • To explain concepts of age-standardized, truncated, and cumulative rates.
  • To provide examples of these statistical methods.

Main Methods:

  • Review of established age adjustment methodologies.
  • Conceptual explanation of rate calculation techniques.
  • Illustrative examples using cancer data.

Main Results:

  • Age standardization is essential for comparing cancer rates.
  • Different methods (standardized, truncated, cumulative) offer varied perspectives.
  • Accurate application of these methods ensures valid epidemiological insights.

Conclusions:

  • Age adjustment is indispensable for meaningful cancer incidence and mortality statistics.
  • Understanding and applying these methods allows for robust population health comparisons.
  • This review provides a foundation for accurate epidemiological analysis.

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