Equivalency Between the Generalized Bivariate Bernoulli Model Dependency Test and a Logistic Regression Model With Interaction Effects

Our work reveals that a widely available and flexible logistic regression model can serve as a practical alternative to the GBBM dependency test, enhancing accessibility for researchers. Moreover, this approach provides a foundation for extending dependency analyses to more complex longitudinal binary data structures, broadening its applicability in biomedical research.

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Publication Details

Journal
Statistics in Medicine
Published
2025-09-01
DOI
https://doi.org/10.1002/sim.70260
Primary Topic
Statistical Methods and Bayesian Inference
Type
article
Field-Weighted Citation Impact
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article

Equivalency Between the Generalized Bivariate Bernoulli Model Dependency Test and a Logistic Regression Model With Interaction Effects

Devin C. Koestler, Yanming Li, Kazi Md Farhad Mahmud
Statistics in Medicine
Statistical Methods and Bayesian Inference
article

Equivalency Between the Generalized Bivariate Bernoulli Model Dependency Test and a Logistic Regression Model With Interaction Effects

Devin C. Koestler, Yanming Li, Kazi Md Farhad Mahmud
article en

Abstract

Our work reveals that a widely available and flexible logistic regression model can serve as a practical alternative to the GBBM dependency test, enhancing accessibility for researchers. Moreover, this approach provides a foundation for extending dependency analyses to more complex longitudinal binary data structures, broadening its applicability in biomedical research.

Statistics in MedicineVol. 44(20-22)
University of Kansas Medical Center (US)
Openalex Percentile: Top 77%
Statistical Methods and Bayesian Inference
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