Ian J. Barnett, Ph.D.
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
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.
Permanent linkB.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.
Selected Publications
Corwin DJ, Mandel F, McDonald CC, Mohammed FN, Margulies S, Barnett I, Arbogast KB, Master CL: Maximizing accuracy of adolescent concussion diagnosis using individual elements of common standardized clinical assessment tools. Journal of Athletic Training Jan 2023.Arbogast KB, Ghosh RP, Corwin DJ, McDonald CC, Mohammed FN, Margulies SS, Barnett I, Master CL.: Trajectories of visual and vestibular markers of youth concussion. Journal of neurotrauma 1(39): 1382-1390, Oct 2022.
R Ghosh, I Barnett: Selecting a significance level in sequential testing procedures for community detection. arXiv:2209.07648 Sep 2022.
C Jha, I Barnett: Confidence Intervals for the Number of Components in Factor Analysis and Principal Components Analysis via Subsampling. arXiv:2205.04945 May 2022.
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.
S Xu, Z Bu, P Chaudhari, I Barnett: Sparse Neural Additive Model: Interpretable Deep Learning with Feature Selection via Group Sparsity. arXiv:2202.12482 Feb 2022.
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.
B Ren, I Barnett: Combining Mixed Effects Hidden Markov Models with Latent Alternating Recurrent Event Processes to Model Diurnal Active-Rest Cycles. arXiv:2201.09179 Jan 2022.
C Jha, M Li, I Barnett: Multiple Hypothesis Testing To Estimate The Number of Communities in Sparse Stochastic Block Models. arXiv:2201.04722 Jan 2022.