Estimating the relative risk in cohort studies and clinical trials of common outcomes

Louise Anne McNutt, Chuntao Wu, Xiaonan (Nan) Xue, Jean Paul Hafner

Research output: Contribution to journalArticle

1134 Citations (Scopus)

Abstract

Logistic regression yields an adjusted odds ratio that approximates the adjusted relative risk when disease incidence is rare (<10%), while adjusting for potential confounders. For more common outcomes, the odds ratio always overstates the relative risk, sometimes dramatically. The purpose of this paper is to discuss the incorrect application of a proposed method to estimate an adjusted relative risk from an adjusted odds ratio, which has quickly gained popularity in medical and public health research, and to describe alternative statistical methods for estimating an adjusted relative risk when the outcome is common. Hypothetical data are used to illustrate statistical methods with readily accessible computer software.

Original languageEnglish (US)
Pages (from-to)940-943
Number of pages4
JournalAmerican Journal of Epidemiology
Volume157
Issue number10
DOIs
StatePublished - May 15 2003
Externally publishedYes

Fingerprint

Cohort Studies
Clinical Trials
Odds Ratio
Software
Public Health
Logistic Models
Incidence
Research

Keywords

  • Clinical trials
  • Cohort studies
  • Odds ratio
  • Relative risk

ASJC Scopus subject areas

  • Epidemiology

Cite this

Estimating the relative risk in cohort studies and clinical trials of common outcomes. / McNutt, Louise Anne; Wu, Chuntao; Xue, Xiaonan (Nan); Hafner, Jean Paul.

In: American Journal of Epidemiology, Vol. 157, No. 10, 15.05.2003, p. 940-943.

Research output: Contribution to journalArticle

McNutt, Louise Anne ; Wu, Chuntao ; Xue, Xiaonan (Nan) ; Hafner, Jean Paul. / Estimating the relative risk in cohort studies and clinical trials of common outcomes. In: American Journal of Epidemiology. 2003 ; Vol. 157, No. 10. pp. 940-943.
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