title: Testing equality of proportions for correlated binary data in ophthalmologic studies.
abstract: In ophthalmologic studies, bilateral correlated data often arise when information involving paired organs (e.g., eyes) are measured from each subject. Adjusted chi-square approach for testing the equality of proportions has been proposed in the literature. In this article, we investigate and derive three alter- native testing procedures for the problem. Our simulation results show the score testing procedure usually produces satisfactory type I error control with higher power, and therefore is recommended. Examples from ophthalmologic studies are used to illustrate our proposed methods.
authors.affiliation: a Department of Biostatistics , University at Buffalo , Buffalo , New York , USA.
authors.forename: Chang-Xing
authors.initials: CX
authors.lastname: Ma
authors.affiliation: b Department of Biostatistics and Bioinformatics , Roswell Park Cancer Institute , Buffalo , New York , USA.
authors.forename: Song
authors.initials: S
authors.lastname: Liu
mesh_terms: D003627:Data Interpretation, Statistical; D006801:Humans; D009885:Ophthalmology; D012107:Research Design
keywords: Asymptotic test; Wald test; homogeneity test; intraclass correlation; score test