Can longitudinal generalized estimating equation models distinguish network influence and homophily? An agent-based modeling approach to measurement characteristics

BACKGROUND: Connected individuals (or nodes) in a network are more likely to be similar than two randomly selected nodes due to homophily and/or network influence. Distinguishing between these two influences is an important goal in network analysis, and generalized estimating equation (GEE) analyses...

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Detalles Bibliográficos
Autores principales: Sauser Zachrison, Kori, Iwashyna, Theodore J., Gebremariam, Achamyeleh, Hutchins, Meghan, Lee, Joyce M
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5192582/
https://www.ncbi.nlm.nih.gov/pubmed/28031023
http://dx.doi.org/10.1186/s12874-016-0274-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5192582/
https://www.ncbi.nlm.nih.gov/pubmed/28031023
http://dx.doi.org/10.1186/s12874-016-0274-4

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