Homogeneity Test of Ratios of Two Proportions in Stratified Bilateral and Unilateral Data

In paired-organ studies such as ophthalmology, otolaryngology, and rheumatology, etc., various approaches take highly correlated bilateral data into account for homogeneity tests but are less likely to focus on combined bilateral and unilateral data structures. Also, it is necessary and important to adjust the effect of confounders on stratified combined bilateral and unilateral data since, in these data structures, ignoring intra-class correlation and confounding effects can cause biased statistical inference. This article derived three homogeneity tests (the likelihood ratio test, the Wald test, and the score test) concerning these cooperative structure data to detect if ratios of proportions retain consistency across strata. Simulation shows that the score test provides a robust Type I error rate and satisfactory power performance. Finally, a real example is applied to demonstrate the application of these three proposed tests.

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Publication Details

Journal
Mathematics
Published
2024-08-30
DOI
https://doi.org/10.3390/math12172719
Citations
1
Primary Topic
Advanced Statistical Methods and Models
Type
article
Field-Weighted Citation Impact
0.71
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article

Homogeneity Test of Ratios of Two Proportions in Stratified Bilateral and Unilateral Data

Huipei Wang, Chang‐Xing Ma
1 citations
Mathematics
Advanced Statistical Methods and Models
0.71
article

Homogeneity Test of Ratios of Two Proportions in Stratified Bilateral and Unilateral Data

Huipei Wang, Chang‐Xing Ma
article en
1 citations

Abstract

In paired-organ studies such as ophthalmology, otolaryngology, and rheumatology, etc., various approaches take highly correlated bilateral data into account for homogeneity tests but are less likely to focus on combined bilateral and unilateral data structures. Also, it is necessary and important to adjust the effect of confounders on stratified combined bilateral and unilateral data since, in these data structures, ignoring intra-class correlation and confounding effects can cause biased statistical inference. This article derived three homogeneity tests (the likelihood ratio test, the Wald test, and the score test) concerning these cooperative structure data to detect if ratios of proportions retain consistency across strata. Simulation shows that the score test provides a robust Type I error rate and satisfactory power performance. Finally, a real example is applied to demonstrate the application of these three proposed tests.

MathematicsVol. 12(17)
University at Buffalo, State University of New York (US)
Openalex Percentile: Top 27%
Advanced Statistical Methods and Models
0.71
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