Cargando…
ALASCA: An R package for longitudinal and cross-sectional analysis of multivariate data by ASCA-based methods
The increasing availability of multivariate data within biomedical research calls for appropriate statistical methods that can describe and model complex relationships between variables. The extended ANOVA simultaneous component analysis (ASCA(+)) framework combines general linear models and princip...
Autores principales: | Jarmund, Anders Hagen, Madssen, Torfinn Støve, Giskeødegård, Guro F. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9645785/ https://www.ncbi.nlm.nih.gov/pubmed/36387276 http://dx.doi.org/10.3389/fmolb.2022.962431 |
Ejemplares similares
-
Repeated measures ASCA+ for analysis of longitudinal intervention studies with multivariate outcome data
por: Madssen, Torfinn S., et al.
Publicado: (2021) -
Immunomodulatory Effects of Metformin Treatment in Pregnant Women With PCOS
por: Ryssdal, Mariell, et al.
Publicado: (2023) -
Changes in Serum Cytokines Throughout Pregnancy in Women With Polycystic Ovary Syndrome
por: Stokkeland, Live Marie T, et al.
Publicado: (2021) -
Cytokine Patterns in Maternal Serum From First Trimester to Term and Beyond
por: Jarmund, Anders Hagen, et al.
Publicado: (2021) -
Longitudinal Changes in Circulating Metabolites and Lipoproteins After Breast Cancer Treatment
por: Giskeødegård, Guro F., et al.
Publicado: (2022)