Analysis of quantitative data by quantiles in epidemiologic studies: Classification according to cases, noncases, or all subjects?

Chung cheng Hsieh, Patrick Maisonneuve, Patrick Maisonneuve, Gary J. Macfarlane, Chris Robertson

Research output: Contribution to journalArticle


Quantitative exposure data in epidemiologic studies are frequently analyzed by ordered categories. Categorization by quantiles can he based on the distribution of (1) cases, (2) noncases, and (3) all subjects. The advantages of the three schemes in determining quantiles were compared. They were found to give the same power regarding a test for trend over a wide range of study situations. Considerations on the representativeness and the ease of the analysis implementation could dictate the choice of the categorization scheme.

Original languageEnglish
Pages (from-to)137-140
Number of pages4
Issue number2
Publication statusPublished - 1991



  • Categorization
  • Quantitative data

ASJC Scopus subject areas

  • Epidemiology

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