Identification of an additive interaction using parameter regularization and model selection in epidemiology

In summary, the model selection method based on the Hannan-Quinn criterion (HQ) appears to be a competitive alternative to the bootstrap method for identifying additive interactions. Furthermore, when using RERI, AP, and S to assess the additive interaction, the results are more consistent and the results are simple and easy to understand.

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Publication Details

Journal
PeerJ
Published
2024-10-14
DOI
https://doi.org/10.7717/peerj.18304
Primary Topic
Statistical Methods and Inference
Type
article
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article

Identification of an additive interaction using parameter regularization and model selection in epidemiology

Chanchan Hu, Zhijian Hu, Zhifeng Lin, Shaowei Lin
PeerJ
Statistical Methods and Inference
article

Identification of an additive interaction using parameter regularization and model selection in epidemiology

Chanchan Hu, Zhijian Hu, Zhifeng Lin, Shaowei Lin
article en

Abstract

In summary, the model selection method based on the Hannan-Quinn criterion (HQ) appears to be a competitive alternative to the bootstrap method for identifying additive interactions. Furthermore, when using RERI, AP, and S to assess the additive interaction, the results are more consistent and the results are simple and easy to understand.

PeerJVol. 12
Fujian Medical University (CN)
Good health and well-being
Openalex Percentile: Top 82%
Statistical Methods and Inference
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