137 citations · 284 across the 10 of their papers we have counts for
3 papers · 1 filter
A Two-Part Mixed-Effects Modeling Framework For Analyzing Whole-Brain Network Data
Sean L. Simpson, Paul J. Laurienti
Whole-brain network analyses remain the vanguard in neuroimaging research, coming to prominence within the last decade. Network science approaches have facilitated these analyses a…
An exponential random graph modeling approach to creating group-based representative whole-brain connectivity networks
Sean L. Simpson, Malaak N. Moussa, Paul J. Laurienti
Group-based brain connectivity networks have great appeal for researchers interested in gaining further insight into complex brain function and how it changes across different ment…
Exponential Random Graph Modeling for Complex Brain Networks
Sean L. Simpson, Satoru Hayasaka, Paul J. Laurienti
Exponential random graph models (ERGMs), also known as p* models, have been utilized extensively in the social science literature to study complex networks and how their global str…