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


Journal

PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081

Informations de publication

Date de publication:
2024
Historique:
received: 20 05 2024
accepted: 25 09 2024
medline: 15 10 2024
pubmed: 15 10 2024
entrez: 15 10 2024
Statut: epublish

Résumé

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.

Identifiants

pubmed: 39405312
doi: 10.1371/journal.pone.0311850
pii: PONE-D-24-19602
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0311850

Informations de copyright

Copyright: © 2024 Zhang, Ma. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Déclaration de conflit d'intérêts

The authors have declared that no competing interests exist.

Auteurs

Zhaoqi Zhang (Z)

Department of Biostatistics, University at Buffalo, Buffalo, New York, United States of America.

Chang-Xing Ma (CX)

Department of Biostatistics, University at Buffalo, Buffalo, New York, United States of America.

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