Imputation of Below Detection Limit Missing Data in Chemical Mixture Analysis with Bayesian Group Index Regression

There is growing scientific interest in identifying the multitude of chemical exposures related to human diseases through mixture analysis. In this paper, we address the issue of below detection limit (BDL) missing data in mixture analysis using Bayesian group index regression by treating both regre...

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Detalles Bibliográficos
Autores principales: Carli, Matthew, Ward, Mary H., Metayer, Catherine, Wheeler, David C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8835633/
https://www.ncbi.nlm.nih.gov/pubmed/35162406
http://dx.doi.org/10.3390/ijerph19031369

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8835633/
https://www.ncbi.nlm.nih.gov/pubmed/35162406
http://dx.doi.org/10.3390/ijerph19031369

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