A confidence interval approach for comparative studies involving binary outcomes in paired organs

Man Lai TANG*, Xinjie He, Guoliang Tian

*Corresponding author for this work

Research output: Contribution to journalJournal articlepeer-review

2 Citations (Scopus)

Abstract

Bilateral binary data are very common in medical comparative studies and clinical trials (e.g., comparison of two treatments in ophthalmologic studies) in which information involving paired organs (e.g., eyes) is available from each subject. Previous studies reported that ignoring the dependence feature of bilateral data could lead to severely incorrect coverage probabilities. In this article, we study various confidence interval estimators for the difference of response rates under the dependence nature of bilateral data. Their performances are evaluated with respect to their expected coverage probabilities, mesial/distal non-coverage probabilities and interval widths via simulation studies. A real example from an otolaryngologic study is used to demonstrate our proposed methodologies.

Original languageEnglish
Pages (from-to)425-453
Number of pages29
JournalCommunications in Statistics - Simulation and Computation
Volume42
Issue number2
DOIs
Publication statusPublished - 2013

Scopus Subject Areas

  • Statistics and Probability
  • Modelling and Simulation

User-Defined Keywords

  • Bilateral data
  • Confidence interval estimator
  • Method of variance estimate recovery (MOVER)
  • Square-and-add approach

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