A comparison of three clustering methods for finding subgroups in MRI, SMS or clinical data: SPSS TwoStep Cluster analysis, Latent Gold and SNOB

BACKGROUND: There are various methodological approaches to identifying clinically important subgroups and one method is to identify clusters of characteristics that differentiate people in cross-sectional and/or longitudinal data using Cluster Analysis (CA) or Latent Class Analysis (LCA). There is a...

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Detalles Bibliográficos
Autores principales: Kent, Peter, Jensen, Rikke K, Kongsted, Alice
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4192340/
https://www.ncbi.nlm.nih.gov/pubmed/25272975
http://dx.doi.org/10.1186/1471-2288-14-113

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4192340/
https://www.ncbi.nlm.nih.gov/pubmed/25272975
http://dx.doi.org/10.1186/1471-2288-14-113

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