Testing equality of proportions for correlated binary data in ophthalmologic studies.

J Biopharm Stat

b Department of Biostatistics and Bioinformatics , Roswell Park Cancer Institute, Buffalo , New York , USA.

Published: January 2018

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.

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http://dx.doi.org/10.1080/10543406.2016.1167072DOI Listing

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