A hierarchical Bayesian entry time realignment method to study the long-term natural history of diseases

A major question in clinical science is how to study the natural course of a chronic disease from inception to end, which is challenging because it is impractical to follow patients over decades. Here, we developed BETR (Bayesian entry time realignment), a hierarchical Bayesian method for investigat...

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Detalles Bibliográficos
Autores principales: Shen, Liangbo L., Del Priore, Lucian V., Warren, Joshua L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8941125/
https://www.ncbi.nlm.nih.gov/pubmed/35318383
http://dx.doi.org/10.1038/s41598-022-08919-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8941125/
https://www.ncbi.nlm.nih.gov/pubmed/35318383
http://dx.doi.org/10.1038/s41598-022-08919-1

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