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

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

Abstract 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)...

Full description

Bibliographic Details
Main Authors: Kori Sauser Zachrison, Theodore J. Iwashyna, Achamyeleh Gebremariam, Meghan Hutchins, Joyce M Lee
Format: Article
Language:English
Published: BMC 2016-12-01
Series:BMC Medical Research Methodology
Subjects:
Network Analysis
GEE Models
Network Influence
Online Access:http://link.springer.com/article/10.1186/s12874-016-0274-4

Internet

http://link.springer.com/article/10.1186/s12874-016-0274-4

Similar Items