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[Mortality rate and its statistical properties]

C Zocchetti1, D Consonni

  • 1Istituti Clinici di Perfezionamento, Clinica del Lavoro Luigi Devoto, Milano.

La Medicina Del Lavoro
|July 1, 1994
PubMed
Summary

This paper clarifies the definition and statistical properties of epidemiologic rates, distinguishing them from risk. It explores rate variability and its statistical distributions, including Poisson and Gaussian approximations, for accurate disease occurrence measurement.

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Area of Science:

  • Epidemiology
  • Biostatistics

Background:

  • Rates are fundamental epidemiologic measures for disease occurrence.
  • Understanding rates is crucial for accurate public health surveillance and research.

Purpose of the Study:

  • To provide a didactic explanation of mortality (morbidity) rates.
  • To differentiate between the concepts of rate and risk in epidemiology.
  • To explore the statistical properties and distributions of rates.

Main Methods:

  • Defined rates from survival analysis (instantaneous risk) and as a measure of change over time.
  • Analyzed statistical properties, focusing on variability linked to events (numerator).
  • Discussed Poisson and Gaussian distributions for rate variability, including approximations and log transformations.

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Main Results:

  • Rates and risks have distinct definitions, interpretations, and applications.
  • Rate variability is primarily associated with the number of events.
  • Appropriate statistical distributions (Poisson, Gaussian) and transformations are identified for analyzing rates.

Conclusions:

  • A clear understanding of rate definitions and statistical properties enhances epidemiologic analysis.
  • The study provides practical methods for computing and interpreting rates, including confidence intervals.
  • Accurate application of statistical distributions ensures reliable measurement of disease occurrence.