Homogeneity Test of Many-to-One Relative Risk Ratios in Unilateral and Bilateral Data with Multiple Groups

In medical clinical studies, we often encounter paired organs’ unilateral or bilateral data. For bilateral data, there exists an intraclass correlation between paired organs. Under an intraclass correlation model, this paper proposes asymptotic statistics for testing the equality of many-to-one rela...

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Bibliographic Details
Published inAxioms Vol. 12; no. 4; p. 333
Main Authors Li, Yuxin, Li, Zhiming, Mou, Keyi
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 01.03.2023
Subjects
Algorithms
Electronic data processing
Health risk assessment
Homogeneity
Hypotheses
likelihood ratio test
Methods
Organs
Patients
Probability
Random variables
Ratios
Rosner’s model
score test
Statistical hypothesis testing
unilateral and bilateral data
Wald-type test
China
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Summary:In medical clinical studies, we often encounter paired organs’ unilateral or bilateral data. For bilateral data, there exists an intraclass correlation between paired organs. Under an intraclass correlation model, this paper proposes asymptotic statistics for testing the equality of many-to-one relative risk ratios in combined unilateral and bilateral data. Furthermore, we calculate the explicit expressions of these statistics. Moreover, these procedures are adequate to solve the hypothesis problems of unilateral or bilateral data. Through comparison, the simulation results show that the score test has a robust empirical type-I error rate and sufficient power. We provide a clinical trial of acute otitis media to illustrate our proposed methods.
ISSN:2075-1680
2075-1680
DOI:10.3390/axioms12040333