Ian J. Barnett, Ph.D.

faculty photo
Assistant Professor of Biostatistics in Biostatistics and Epidemiology
Department: Biostatistics and Epidemiology
Graduate Group Affiliations

Contact information
Division of Biostatistics
Department of Biostatistics, Epidemiology, and Informatics
University of Pennsylvania Perelman School of Medicine
212 Blockley Hall
423 Guardian Drive
Philadelphia, PA 19104
Office: 650-799-7868
Education:
B.S. (Mathematical and Computational Sciences)
Stanford University, Stanford, CA, 2010.
Ph.D. (Biostatistics)
Harvard University T.H. Chan School of Public Health, Boston, MA, 2014.
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Selected Publications

Xia, C., Barnett, I., Tapera, T., Cui, Z., Moore, T., Adebimpe, A., Rush-Goebel, S., Piiwaa, K., Murtha, K., Linguiti, S., Leibenluft, E., Brotman, M., Martin, M., Calkins, M., Roalf, D., Wolf, D., Bassett, D., Lydon-Staley, D., Baker, J., Ungar, L., Satterthwaite, T.: Mobile footprinting: linking individual distinctiveness in mobility patterns to mood, sleep, and brain functional connectivity. Neuropsychopharmacology Apr 2022 Notes: DOI:10.21203/rs.3.rs-465623/v1.

Ren, B. and Barnett, I.: Autoregressive mixture models for clustering time series. Journal of Time Series Analysis Mar 2022 Notes: DOI: 10.1111/jtsa.12644.

Li Y., Oravecz Z., Zhou S., Bodovski Y., Barnett I., Chi G., Zhou Y., Friedman N., Vrieze S., Chow S. : Bayesian forecasting with a regime-switching zero-inflated multilevel poisson regression model: An application to adolescent alcohol use with spatial covariates. Psychometrika 25: 1-27, Jan 2022.

Mandel, F., Ghosh, R., Barnett, I.: Neural Networks for Clustered and Longitudinal Data Using Mixed Effects Models. Biometrics Page: 1-11, Dec 2021 Notes: DOI: 10.1111/biom.13615.

Arbogast K., Ghosh R., Corwin D., McDonald C., Margulies S., Barnett I., Master C.: Age- and Sex-based Trajectories of Visio-Vestibular Markers of Youth Concussion. J of Neurotrauma 38(14), Jul 2021.

Benny Ren, Ian Barnett: Autoregressive Mixture Models for Serial Correlation Clustering of Time Series Data. arXiv Jun 2021 Notes: https://arxiv.org/abs/2006.16539.

Cedric Huchuan Xia, Ian Barnett, Tinashe Tapera, Zaixu Cui, Tyler Moore, AzeezA Adebimpe, Sage Rush, Kayla Piiwaa, Kristin Murtha, Sophia Linguiti, Ellen Leibenluft, Melissa Martin, Melissa Lynne Martin, Monica E Calkins, David Roalf, Daniel Wolf, Danielle S Bassett, David M Lydon-Staley, Justin Baker, Lyle Ungar, Theodore D Satterthwaite: Mobile Footprinting: Linking Individual Distinctiveness in Mobility Patterns to Mood, Sleep, and Brain Functional Connectivity. bioRxiv May 2021 Notes: https://doi.org/10.1101/2021.05.17.444568.

Rong Ma and Ian Barnett: The Asymptotic Distribution of Modularity in Weighted Signed Networks. Biometrika 108(1): 1-16, Mar 2021.

John Torous; Tanzeem Choudhury; Ian Barnett; Matcheri Keshavan; John Kane : Smartphone relapse prediction in serious mental illness: a pathway towards personalized preventive care. World Psychiatry 19(3): 308-309, Oct 2020.

Ian Barnett; John Torous; Harrison Reeder; Justin Baker; Jukka-Pekka Onnela: Determining sample size and length of follow-up for smartphone- based digital phenotyping studies. Journal of the American Medical Informatics Association Sep 2020.

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Last updated: 06/01/2022
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