Ian J. Barnett, Ph.D.

faculty photo
Assistant Professor of Biostatistics in Biostatistics and Epidemiology
Senior Scholar, Center for Clinical Epidemiology and Biostatistics
Core Center Faculty, Center for Statistics in Big Data
Affiliate Member, Wharton Sports Analytics and Business Initiative
Co-director, Biostatistics and Data Management Core of Penn Mental Health AIDS Research Center (PMHARC)
Director, Penn Unit for Mobile App Sensing (PUMAS), Department of Biostatistics, Epidemiology, and Informatics + Digital Academic Research Transformation
Department: Biostatistics and Epidemiology

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.
Permanent link
 
> Perelman School of Medicine   > Faculty   > Details

Selected Publications

J. Tejan, I. Barnett, A. Delgado, Z. Wang, V. Kheterpal, E. Schramm, S. Raval, M. Montenario, N. Agyapong, A. Delgado, M. Tisminetzky, M. Mujahid, S. Judd, R.S. Vasan, D. McManus, and A. Soni: Association of daily temperature and precipitation with physical activity and sleep among the RURAL Cohort Study participants over a six-month period. American Heart Association Epidemiology and Prevention Lifestyle Scientific Sections 2024 Mar 2024.

K. Hackett, S. Xu, M. McKniff, A. Federman, I. Barnett, M. Sano, and T. Giovannetti: Applications for smartphone digital phenotyping in Alzheimer’s disease clinical trials: Preliminary feasibility and validity of a theoretically-informed approach. International Neuropsychological Society Meetings 2024 Feb 2024 Notes: Peer-reviewed conference proceedings.

Mandel, F. and Barnett, I.: Permutation-based Hypothesis Testing for Neural Networks. Proceedings of the AAAI Conference on Artificial Intelligence Feb 2024.

Luong, N., Barnett, I., and Aledavood, T.: The impact of the COVID-19 pandemic on daily rhythms. Journal of the American Medical Informatics Association 30(12): 1943-1953, Nov 2023.

Basner, M., Barnett, I., Carlin, M., Choi, G., Czech, J., Ecker, J., Gilad, Y., Godwin, T., Jodts, E., Jones, C., Kaizi-Lutu, M., Kali, J., Opsomer, J., Park-Chavar, S., Smith, M., Schneller, V., Song, N., Shaw, P. : Effects of Aircraft Noise on Sleep: FAA National Sleep Study Protocol. International Journal of Environmental Research and Public Health 20(21): 7024, Nov 2023.

S Xu, Z Bu, P Chaudhari, I Barnett: Sparse Neural Additive Model: Interpretable Deep Learning with Feature Selection via Group Sparsity. Proceedings of the Joint European Conference on Machine Learning and Knowledge Discovery in Databases 14171: 343–359, Sep 2023.

Parikh, R., Schriver, E., Williamson, J., Ferrell, W., Wakim, J., Kopinsky, M., Balachandran, M., Chen, J., Patel, M., Takvorian, S., Shulman, L., Bekelman, J., Barnett, I., and Manz, C.: Association of remote, longitudinal patient-reported outcomes (PROs) and step counts with hospitalization or death among patients with advanced cancer undergoing chemotherapy: Secondary analysis of the PROStep randomized trial. Journal of Clinical Oncology 41(16): 1581-1581, Sep 2023.

R Ghosh, I Barnett: Selecting a significance level in sequential testing procedures for community detection. Applied Network Science 8(1): 49, Aug 2023.

M. Martin, and I. Barnett: A variance component score test for multivariate change point detection. American Statistical Association, Joint Statistical Meetings 2023 Aug 2023 Notes: Poster presentation.

Huggins, J., Barnett, I., and David, M.: Effects of Antimicrobial Therapy Duration and Class on Risk of Antimicrobial-Resistant Gram-negative Bacillus Bloodstream Infection in Patients with AML. Transplant Infectious Disease 25(6): e14115: 1-10, Aug 2023.

back to top
Last updated: 03/13/2024
The Trustees of the University of Pennsylvania