***** To join INSNA, visit http://www.insna.org ***** Hi, I used a multilevel random intercept model to disentangle the "effects" due to ego characteristics, alter attributes, cross-level difference (heterogeneity), and cross-level interactions. It can be done using Proc GLIMMIX in SAS. Here is the link to this paper: https://www.ncbi.nlm.nih.gov/pubmed/?term=Egocentric+Network+and+Condom+Use+Among+Mid-Age+Female+Sex+Workers+in+China%3A+A+Multilevel+Modeling+Analysis Hongjie On Tue, May 16, 2017 at 10:50 AM, Yawo Kokuvi <[log in to unmask]> wrote: > ***** To join INSNA, visit http://www.insna.org ***** > Dear SOCNET terse, > > Good afternoon. > > I am trying to fit a logistic regression model based on data from an > egocentric/personal network. > > I've noticed that GEE is increasingly being used to deal with > non-independence of ego-alter observations. > > I want to fit my model using GEE. But there is very little guidance out > there on how to set up the procedure in SPSS/STATA (when network data is > involved). > > I will be very grateful if anyone here some leads, references on how to > fit this model in SPSS, Stata, R or SAS. > > Thanks in advance, > > Cy > _____________________________________________________________________ > SOCNET is a service of INSNA, the professional association for social > network researchers (http://www.insna.org). To unsubscribe, send an email > message to [log in to unmask] containing the line UNSUBSCRIBE SOCNET > in the body of the message. -- Hongjie Liu, Ph.D., M.S. Professor Department of Epidemiology and Biostatistics School of Public Health University of Maryland, College Park Tel: 301 405 3102 Email: [log in to unmask] http://sph.umd.edu/department/epib/faculty/people/hongjie-liu _____________________________________________________________________ SOCNET is a service of INSNA, the professional association for social network researchers (http://www.insna.org). To unsubscribe, send an email message to [log in to unmask] containing the line UNSUBSCRIBE SOCNET in the body of the message.