Functional data analysis to characterize disease patterns in frequent longitudinal data: application to bacterial vaginal microbiota patterns using weekly Nugent scores and identification of pattern-specific risk factors

BACKGROUND: Technology advancement has allowed more frequent monitoring of biomarkers. The resulting data structure entails more frequent follow-ups compared to traditional longitudinal studies where the number of follow-up is often small. Such data allow explorations of the role of intra-person var...

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Detalles Bibliográficos
Autores principales: Biswas, Rahul, Thoma, Marie, Kong, Xiangrong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10604810/
https://www.ncbi.nlm.nih.gov/pubmed/37884907
http://dx.doi.org/10.1186/s12874-023-02063-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10604810/
https://www.ncbi.nlm.nih.gov/pubmed/37884907
http://dx.doi.org/10.1186/s12874-023-02063-8

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