Testing equality of proportions for correlated binary data in ophthalmologic studies

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...

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Bibliographic Details
Published in:Journal of biopharmaceutical statistics 2017-07, Vol.27 (4), p.611-619
Main Authors: Ma, Chang-Xing, Liu, Song
Format: Article
Language:English
Subjects:
Asymptotic test
Data Interpretation, Statistical
homogeneity test
Humans
intraclass correlation
Ophthalmology
Research Design
score test
Wald test
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Summary: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.
ISSN:1054-3406
1520-5711
DOI:10.1080/10543406.2016.1167072