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
S Xu, Z Bu, P Chaudhari, I Barnett: Sparse Neural Additive Model: Interpretable Deep Learning with Feature Selection via Group Sparsity. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases Aug 2023 Notes: Accepted, in press.Luong, N., Barnett, I., and Aledavood, T.: The impact of the COVID-19 pandemic on daily rhythms. Journal of the American Medical Informatics Association Jul 2023 Notes: In press.
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 Jul 2023 Notes: In press.
R Ghosh, I Barnett: Selecting a significance level in sequential testing procedures for community detection. Applied Network Science Jun 2023 Notes: In press. arXiv:2209.07648.
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: In press. 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.
Ghosh, R.P., Onnela, J.P., and Barnett, I.: A Generalized Estimating Equation Approach to Network Regression. arXiv:2301.04804 Jan 2023.
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 Notes: Online only. DOI: 10.4085/1062-6050-0020.22.
Mandel, F. and Barnett, I.: Permutation-based Hypothesis Testing for Neural Networks. arXiv:2301.11354 Jan 2023.