Simultaneous confidence intervals for comparing binomial parameters

Alan Agresti, Matilde Bini, Bruno Bertaccini, Euijung Ryu

Research output: Contribution to journalArticlepeer-review

55 Scopus citations

Abstract

To compare proportions with several independent binomial samples, we recommend a method of constructing simultaneous confidence intervals that uses the studentized range distribution with a score statistic. It applies to a variety of measures, including the difference of proportions, odds ratio, and relative risk. For the odds ratio, a simulation study suggests that the method has coverage probability closer to the nominal value than ad hoc approaches such as the Bonferroni implementation of Wald or "exact" small-sample pairwise intervals. It performs well even for the problematic but practically common case in which the binomial parameters are relatively small. For the difference of proportions, the proposed method has performance comparable to a method proposed by Piegorsch (1991, Biometrics 47, 45-52).

Original languageEnglish
Pages (from-to)1270-1275
Number of pages6
JournalBiometrics
Volume64
Issue number4
DOIs
StatePublished - 1 Jan 2008
Externally publishedYes

Keywords

  • Bonferroni method
  • Difference of proportions
  • Odds ratio
  • Score test
  • Studentized range distribution
  • Tukey multiple comparisons

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