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Statistical method use in public health research.

James C Karran1, Erica E M Moodie2, Michael P Wallace1

  • 1Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Canada.

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|July 12, 2015
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Summary

Public health research uses complex statistics. Training should cover a broad range of statistical methods to improve understanding and accessibility of findings.

Keywords:
Public healtheducationpreventive medicinestatistics

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Area of Science:

  • Public Health
  • Biostatistics

Background:

  • Public health research often contains complex statistical information.
  • Understanding these statistics is crucial for practitioners.

Purpose of the Study:

  • To assess the statistical literacy needed for public health research.
  • To inform statistical training for public health practitioners.

Main Methods:

  • Reviewed statistical content of 482 original research articles from four major public health journals in 2011.
  • Identified and recorded the frequency of statistical methodologies used.
  • Assessed the usefulness of methods for literature accessibility.

Main Results:

  • Identified 30 categories of statistical methods.
  • Descriptive statistics were most common (467 articles).
  • Regression analyses, particularly logistic regression (206 articles) and linear regression (95 articles), were prevalent. Complex models for clustered data appeared in 96 articles.

Conclusions:

  • The public health literature employs diverse and advanced statistical methods.
  • Training should enhance both the breadth and depth of statistical understanding for practitioners.
  • Improved statistical training can increase the accessibility of public health research.