Homogeneity test for correlated binary data.
Where this comes from
- Record sourced from PubMed, PMID 25897962.
- Also identified by DOI 10.1371/journal.pone.0124337 and PMC identifier 4405297.
- Licence recorded as CC BY.
- The licence permits redistribution, so the abstract is shown in full and the full text is available from the publisher.
Abstract
In ophthalmologic studies, measurements obtained from both eyes of an individual are often highly correlated. Ignoring the correlation could lead to incorrect inferences. An asymptotic method was proposed by Tang and others (2008) for testing equality of proportions between two groups under Rosner's model. In this article, we investigate three testing procedures for general g ≥ 2 groups. Our simulation results show the score testing procedure usually produces satisfactory type I error control and has reasonable power. The three test procedures get closer when sample size becomes larger. Examples from ophthalmologic studies are used to illustrate our proposed methods.
Medical subject headings
- Diagnosis, Computer-Assisted
- Retinitis Pigmentosa