Ian J. Barnett, Ph.D.
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
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
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. Machine Learning and Knowledge Discovery in Databases: Research Track. Springer, Cham, 14171, Sep 2023 Notes: Conference proceedings represent peer reviewed publications. https://doi.org/10.1007/978-3-031-43418-1_21.
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), Sep 2023.
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 Page: e14115, Aug 2023 Notes: Online ahead of print. doi: 10.1111/tid.14115.
Mandel, F., Ghosh, R., Barnett, I.: Neural Networks for Clustered and Longitudinal Data Using Mixed Effects Models. Biometrics 79(2): 711-721, Jun 2023 Notes: DOI: 10.1111/biom.13615.
R Ghosh, I Barnett: Selecting a significance level in sequential testing procedures for community detection. Applied Network Science 8(49), Jun 2023.
Barnett, I.: Non-asymptotic inference for multivariate change point detection. arXiv:2304.04644 Apr 2023.
Ren, B. and Barnett, I.: Combining Mixed Effects Hidden Markov Models with Latent Alternating Recurrent Event Processes to Model Diurnal Active-Rest Cycles. Biometrics Apr 2023 Notes: Online ahead of print. https://doi.org/10.1111/biom.13865.
Ren, B., Morris, J., and Barnett, I.: Analysis of block slice samplers for Bayesian GLMMs and GAMs with linear inequality and shape constraints. arXiv:2212.07400 Feb 2023.