BMC Medical Research Methodology (Feb 2012)

Against quantiles: categorization of continuous variables in epidemiologic research, and its discontents

  • Bennette Caroline,
  • Vickers Andrew

DOI
https://doi.org/10.1186/1471-2288-12-21
Journal volume & issue
Vol. 12, no. 1
p. 21

Abstract

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Abstract Background Quantiles are a staple of epidemiologic research: in contemporary epidemiologic practice, continuous variables are typically categorized into tertiles, quartiles and quintiles as a means to illustrate the relationship between a continuous exposure and a binary outcome. Discussion In this paper we argue that this approach is highly problematic and present several potential alternatives. We also discuss the perceived drawbacks of these newer statistical methods and the possible reasons for their slow adoption by epidemiologists. Summary The use of quantiles is often inadequate for epidemiologic research with continuous variables.