Cargando…
Application of a new dietary pattern analysis method in nutritional epidemiology
BACKGROUND: Diet plays an important role in chronic disease, and the use of dietary pattern analysis has grown rapidly as a way of deconstructing the complexity of nutritional intake and its relation to health. Pattern analysis methods, such as principal component analysis (PCA), have been used to i...
Autores principales: | Zhang, Fengqing, Tapera, Tinashe M., Gou, Jiangtao |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6206725/ https://www.ncbi.nlm.nih.gov/pubmed/30373530 http://dx.doi.org/10.1186/s12874-018-0585-8 |
Ejemplares similares
-
A P-value model for theoretical power analysis and its applications in multiple testing procedures
por: Zhang, Fengqing, et al.
Publicado: (2016) -
Advances in dietary pattern analysis in nutritional epidemiology
por: Schulz, Christina-Alexandra, et al.
Publicado: (2021) -
Machine learning assessment of risk factors for depression in later adulthood
por: Zhang, Fengqing, et al.
Publicado: (2022) -
The Application of Clustering on Principal Components for Nutritional Epidemiology: A Workflow to Derive Dietary Patterns
por: Maugeri, Andrea, et al.
Publicado: (2022) -
Dietary Influence on Nutritional Epidemiology, Public Health and Our Lifestyle
por: Varela, Lourdes M.
Publicado: (2023)