New York Tobacco Control Program Cessation Assistance: Costs, Benefits, and Effectiveness

Por Simpson, Sean A., Nonnemaker, James M.
Publicado em 2013

An Analysis of 24-Hour Ambulatory Blood Pressure Monitoring Data using Orthonormal Polynomials in the Linear Mixed Model

Por Edwards, Lloyd J., Simpson, Sean L.
Publicado em 2014

A Two-Part Mixed-Effects Modeling Framework For Analyzing Whole-Brain Network Data

Por Simpson, Sean L., Laurienti, Paul J.
Publicado no Neuroimage (2015)

Disentangling Brain Graphs: A Note on the Conflation of Network and Connectivity Analyses

Por Simpson, Sean L., Laurienti, Paul J.
Publicado no Brain Connect (2016)

The brain science interface

Por Simpson, Sean, Burdette, Jonathan, Laurienti, Paul
Publicado no Signif (Oxf) (2015)

Exponential Random Graph Modeling for Complex Brain Networks

Por Simpson, Sean L., Hayasaka, Satoru, Laurienti, Paul J.
Publicado em 2011

A MATLAB toolbox for multivariate analysis of brain networks

Por Bahrami, Mohsen, Laurienti, Paul J., Simpson, Sean L.
Publicado no Hum Brain Mapp (2018)

A mixed-modeling framework for analyzing multitask whole-brain network data

Por Simpson, Sean L., Bahrami, Mohsen, Laurienti, Paul J.
Publicado no Netw Neurosci (2019)

Analysis of brain subnetworks within the context of their whole‐brain networks

Por Bahrami, Mohsen, Laurienti, Paul J., Simpson, Sean L.
Publicado no Hum Brain Mapp (2019)

Wake Forest Alcohol Imagery Set (WFAIS): Development and validation of a large standardized alcohol imagery dataset

Por Peterson, Hope, Simpson, Sean L., Laurienti, Paul J.
Publicado no Alcohol Clin Exp Res (2019)

From Politics to Parity: Using a Health Disparities Index to Guide Legislative Efforts for Health Equity

Por Webb, Bryant Cameron, Simpson, Sean L., Hairston, Kristen G.
Publicado em 2011

An exponential random graph modeling approach to creating group-based representative whole-brain connectivity networks

Por Simpson, Sean L., Moussa, Malaak N., Laurienti, Paul J.
Publicado em 2012

Editorial: Complexity and emergence in brain network analyses

Por Telesford, Qawi K., Simpson, Sean L., Kolaczyk, Eric D.
Publicado no Front Comput Neurosci (2015)

Analyzing complex functional brain networks: Fusing statistics and network science to understand the brain(*†)

Por Simpson, Sean L., Bowman, F. DuBois, Laurienti, Paul J.
Publicado em 2013

Analysis of Feedback Mechanisms with Unknown Delay Using Sparse Multivariate Autoregressive Method

Por Ip, Edward H., Zhang, Qiang, Sowinski, Tomasz, Simpson, Sean L.
Publicado no PLoS One (2015)

Detecting Novel and Emerging Drug Terms Using Natural Language Processing: A Social Media Corpus Study

Por Simpson, Sean S, Adams, Nikki, Brugman, Claudia M, Conners, Thomas J
Publicado no JMIR Public Health Surveill (2018)

Kronecker Product Linear Exponent AR(1) Correlation Structures for Multivariate Repeated Measures

Por Simpson, Sean L., Edwards, Lloyd J., Styner, Martin A., Muller, Keith E.
Publicado em 2014

Separability tests for high-dimensional, low sample size multivariate repeated measures data

Por Simpson, Sean L., Edwards, Lloyd J., Styner, Martin A., Muller, Keith E.
Publicado em 2014

Sliding window correlation analysis: Modulating window shape for dynamic brain connectivity in resting state

Por Mokhtari, Fatemeh, Akhlaghi, Milad I., Simpson, Sean L., Wu, Guorong, Laurienti, Paul J.
Publicado no Neuroimage (2019)

The Brain as a Complex System: Using Network Science as a Tool for Understanding the Brain

Por Telesford, Qawi K., Simpson, Sean L., Burdette, Jonathan H., Hayasaka, Satoru, Laurienti, Paul J.
Publicado em 2011