Using structural equation modeling to detect response shift in performance and health-related quality of life scores of multiple sclerosis patients

PURPOSE: To illustrate how structural equation modeling (SEM) can be used for response shift detection with random measurement occasions and health state operationalized as fixed group membership (Study 1) or with fixed measurement occasions and health state operationalized as time-varying covariate...

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Detalles Bibliográficos
Autores principales: King-Kallimanis, Bellinda L., Oort, Frans. J., Nolte, Sandra, Schwartz, Carolyn E., Sprangers, Mirjam A. G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Netherlands 2011
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3220820/
https://www.ncbi.nlm.nih.gov/pubmed/21246289
http://dx.doi.org/10.1007/s11136-010-9844-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3220820/
https://www.ncbi.nlm.nih.gov/pubmed/21246289
http://dx.doi.org/10.1007/s11136-010-9844-9

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