Homogeneity Test of Response Rate Functions in Bilateral Correlated Data under Dallal’s Model
In clinical studies, paired binary metadata are often encountered during collecting information from paired organs or parts. The risk difference, relative risk ratio, and odds ratios of response rates are widely used to measure cured effects for such data. Under Dallal’s model, the paper extends the...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
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Wiley
2023-01-01
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Series: | Complexity |
Online Access: | http://dx.doi.org/10.1155/2023/7691732 |
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author | Hengyi Zhao Xiaojuan Wang Jingwen Bian Shenglong Chen Zhiming Li |
author_facet | Hengyi Zhao Xiaojuan Wang Jingwen Bian Shenglong Chen Zhiming Li |
author_sort | Hengyi Zhao |
collection | DOAJ |
description | In clinical studies, paired binary metadata are often encountered during collecting information from paired organs or parts. The risk difference, relative risk ratio, and odds ratios of response rates are widely used to measure cured effects for such data. Under Dallal’s model, the paper extends these measures to the general case in g groups. We propose eight test statistics for various functions when the dependency measures γii=1,…,g are equal or not. Simulation results show that the Score and Rosner-type tests can produce robust empirical type I error rates, while Wald-type and likelihood ratio tests have better power in testing the risk difference, relative risk ratio, and odds ratios. Finally, two real examples illustrate our proposed method’s practicability. |
first_indexed | 2024-03-11T22:34:07Z |
format | Article |
id | doaj.art-d0b6c064d01c4ff1b9f65c5de85d61a5 |
institution | Directory Open Access Journal |
issn | 1099-0526 |
language | English |
last_indexed | 2025-02-16T10:06:37Z |
publishDate | 2023-01-01 |
publisher | Wiley |
record_format | Article |
series | Complexity |
spelling | doaj.art-d0b6c064d01c4ff1b9f65c5de85d61a52025-02-03T01:29:49ZengWileyComplexity1099-05262023-01-01202310.1155/2023/7691732Homogeneity Test of Response Rate Functions in Bilateral Correlated Data under Dallal’s ModelHengyi Zhao0Xiaojuan Wang1Jingwen Bian2Shenglong Chen3Zhiming Li4College of Mathematics and System SciencesCollege of Mathematics and System SciencesCollege of Mathematics and System SciencesCollege of Mathematics and System SciencesCollege of Mathematics and System SciencesIn clinical studies, paired binary metadata are often encountered during collecting information from paired organs or parts. The risk difference, relative risk ratio, and odds ratios of response rates are widely used to measure cured effects for such data. Under Dallal’s model, the paper extends these measures to the general case in g groups. We propose eight test statistics for various functions when the dependency measures γii=1,…,g are equal or not. Simulation results show that the Score and Rosner-type tests can produce robust empirical type I error rates, while Wald-type and likelihood ratio tests have better power in testing the risk difference, relative risk ratio, and odds ratios. Finally, two real examples illustrate our proposed method’s practicability.http://dx.doi.org/10.1155/2023/7691732 |
spellingShingle | Hengyi Zhao Xiaojuan Wang Jingwen Bian Shenglong Chen Zhiming Li Homogeneity Test of Response Rate Functions in Bilateral Correlated Data under Dallal’s Model Complexity |
title | Homogeneity Test of Response Rate Functions in Bilateral Correlated Data under Dallal’s Model |
title_full | Homogeneity Test of Response Rate Functions in Bilateral Correlated Data under Dallal’s Model |
title_fullStr | Homogeneity Test of Response Rate Functions in Bilateral Correlated Data under Dallal’s Model |
title_full_unstemmed | Homogeneity Test of Response Rate Functions in Bilateral Correlated Data under Dallal’s Model |
title_short | Homogeneity Test of Response Rate Functions in Bilateral Correlated Data under Dallal’s Model |
title_sort | homogeneity test of response rate functions in bilateral correlated data under dallal s model |
url | http://dx.doi.org/10.1155/2023/7691732 |
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