Exact Confidence Intervals for the Relative Risk and the Odds Ratio

Weizhen Wang, Guogen Shan

Research output: Contribution to journalArticlepeer-review

Abstract

For comparison of proportions, there are three commonly used measurements: the difference, the relative risk, and the odds ratio. Significant effort has been spent on exact confidence intervals for the difference. In this article, we focus on the relative risk and the odds ratio when data are collected from a matched-pairs design or a two-arm independent binomial experiment. Exact one-sided and two-sided confidence intervals are proposed for each configuration of two measurements and two types of data. The one-sided intervals are constructed using an inductive order, they are the smallest under the order, and are admissible under the set inclusion criterion. The two-sided intervals are the intersection of two one-sided intervals. R codes are developed to implement the intervals. Supplementary materials for this article are available online.

Original languageAmerican English
JournalBiometrics
Volume71
DOIs
StatePublished - Jul 30 2015

Keywords

  • Binomial Distribution
  • Coverage Probability
  • Multinomial Distribution
  • Set Inclusion

Disciplines

  • Applied Mathematics
  • Applied Statistics
  • Mathematics
  • Physical Sciences and Mathematics
  • Statistics and Probability

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