Bayesian nested frailty model for evaluating surgical management of patulous Eustachian tube dysfunction

Bayesian nested frailty models provide flexibility in modeling hierarchical survival data and effectively account for multiple levels of clustering. Our study highlights the importance of accounting for all levels of hierarchical clustering for valid inference.

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Publication Details

Journal
BMC Medical Research Methodology
Published
2025-03-11
DOI
https://doi.org/10.1186/s12874-025-02523-3
Citations
1
Primary Topic
Hearing Loss and Rehabilitation
Type
article
Field-Weighted Citation Impact
1.43
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article

Bayesian nested frailty model for evaluating surgical management of patulous Eustachian tube dysfunction

Dennis S. Poe, Joonas Toivonen, Kosuke Kawai, Bryan K. Ward
1 citations
BMC Medical Research Methodology
Hearing Loss and Rehabilitation
1.43
article

Bayesian nested frailty model for evaluating surgical management of patulous Eustachian tube dysfunction

Dennis S. Poe, Joonas Toivonen, Kosuke Kawai, Bryan K. Ward
article en
1 citations

Abstract

Bayesian nested frailty models provide flexibility in modeling hierarchical survival data and effectively account for multiple levels of clustering. Our study highlights the importance of accounting for all levels of hierarchical clustering for valid inference.

BMC Medical Research MethodologyVol. 25(1)
Boston Children's Hospital (US), Harvard University (US), Johns Hopkins University (US), University of Turku (FI), University of California, Los Angeles (US), Johns Hopkins Medicine (US), Turku University Hospital (FI)
Openalex Percentile: Top 22%
Hearing Loss and Rehabilitation
1.43
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Bayesian nested frailty model for evaluating surgical management of patulous Eustachian tube dysfunction — Dennis S. Poe, Joonas Toivonen, et al. · BMC Medical Research Methodology (2025) | TGRS Research Map | TGRS