Simultaneous confidence interval construction for many-to-one of proportion ratios of bilateral correlated data

PLoS One. 2024 Oct 15;19(10):e0311850. doi: 10.1371/journal.pone.0311850. eCollection 2024.

Abstract

In ophthalmology and otolaryngology, data collected from paired body parts are typically reformatted into categorical bilateral data structures for subsequent research. This article applies Donner's equal correlation coefficient model and obtains nine simultaneous confidence intervals (SCI) of proportion ratios under three asymptotic statistical methods and three ways of multiplicity adjustment. The empirical coverage probability and mean interval width are evaluated through Monte Carlo simulations. A real example is used to demonstrate the proposed methods.

MeSH terms

  • Computer Simulation
  • Confidence Intervals
  • Humans
  • Models, Statistical
  • Monte Carlo Method*

Grants and funding

The author(s) received no specific funding for this work.