Cargando…
Stability of exploratory multivariate data modeling in longitudinal data
Exploratory data-driven multivariate analysis provides a means of investigating underlying structure in complex data. To explore the stability of multivariate data modeling, we have applied a common method of multivariate modeling (factor analysis) to the Genetic Analysis Workshop 13 (GAW13) Framing...
Autores principales: | Sengul, Haydar, Barmada, M Michael |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2003
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1866473/ https://www.ncbi.nlm.nih.gov/pubmed/14975106 http://dx.doi.org/10.1186/1471-2156-4-S1-S38 |
Ejemplares similares
-
Genetic analyses of longitudinal phenotype data: a comparison of univariate methods and a multivariate approach
por: Yang, Qiong, et al.
Publicado: (2003) -
Constrained multivariate association with longitudinal phenotypes
por: Melton, Phillip E., et al.
Publicado: (2016) -
A genome-wide association analysis of Framingham Heart Study longitudinal data using multivariate adaptive splines
por: Zhu, Wensheng, et al.
Publicado: (2009) -
Graph ranking for exploratory gene data analysis
por: Gao, Cuilan, et al.
Publicado: (2009) -
Penalized multivariate linear mixed model for longitudinal genome-wide association studies
por: Liu, Jin, et al.
Publicado: (2014)