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Faculty

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Alexander W Levis, PhD

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Assistant Professor of Biostatistics and Epidemiology at the Hospital of the University of Pennsylvania
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Department: Biostatistics and Epidemiology
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1f Graduate Group Affiliations 8 a
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Division of Biostatistics
45 Department of Biostatistics, Epidemiology, and Informatics
3f University of Pennsylvania Perelman School of Medicine
1f 3600 Civic Center Blvd.
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Philadelphia, PA 19104
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13 Education:
21 8 BSc 19 (Pharmacology) c
38 McGill University, Montreal, QC, 2015.
21 8 MSc 1a (Biostatistics) c
38 McGill University, Montreal, QC, 2017.
21 7 MA 1a (Biostatistics) c
40 Harvard TH Chan School of Public Health, 2019.
21 8 PhD 1a (Biostatistics) c
40 Harvard TH Chan School of Public Health, 2022.
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Selected Publications

10b Loewinger G, Stensrud MJ, Nayak SM, Yaden D, Levis AW: Causal Inference in Studies with Functional Unmasking: Psychedelics and Beyond. medRxiv Jan 2026 Notes: doi: 10.64898/2025.12.05.25341713.

118 Liu Y, Levis AW, Zhu K, Yang S, Gilbert PB, and Han L : Federated Causal Survival Analysis Under Distribution Shift. Proceedings of the 14th International Conference on Learning Representations (ICLR). 2026.

12f Benz, L., Levis, A.W., Haneuse, S: Comparing causal inference methods for point expo-sures with missing confounders: a simulation study. BMC Medical Research Methodology 25(1): 222, Sep 2025 Notes: doi: 10.1186/s12874-025-02675-2.

108 Levis AW, Bonvini M, Zeng Z, Keele L, Kennedy EH: Covariate-assisted bounds on causal effects with instrumental variables. Journal of the Royal Statistical Society 87(5): 1508-1527, May 2025.

129 Levis, A.W., Kennedy, E.H.: Discussion of “Causal and counterfactual views of missing data mod-els” by Razieh Nabi, Rohit Bhattacharya, Ilya Shpitser, and James M. Robins. Statistica Sinica 2025 Notes: arXiv:2506.13025.

126 Levis AW, Mukherjee R, Wang R, Fischer H, Haneuse S: Double Sampling for Informatively Missing Data in Electronic Health Record-Based Comparative Effectiveness Research. Statistics in Medicine 43(30): 6086-6098, Dec 2024.

693 Levis B, Bhandari PM, Neupane D, Fan S, Sun Y, He C, Wu Y, Krishnan A, Negeri Z, Imran M, Rice DB, Riehm KE, Azar M, Levis AW, Boruff J, Cuijpers P, Gilbody S, Ioannidis JPA, Kloda LA, Patten SB, Ziegelstein RC, Harel D, Takwoingi Y, Markham S, Alamri SH, Amtmann D, Arroll B, Ayalon L, Baradaran HR, Beraldi A, Bernstein CN, Bhana A, Bombardier CH, Buji RI, Butterworth P, Carter G, Chagas MH, Chan JCN, Chan LF, Chibanda D, Clover K, Conway A, Conwell Y, Daray FM, de Man-van Ginkel JM, Fann JR, Fischer FH, Field S, Fisher JRW, Fung DSS, Gelaye B, Gholizadeh L, Goodyear-Smith F, Green EP, Greeno CG, Hall BJ, Hantsoo L, Härter M, Hides L, Hobfoll SE, Honikman S, Hyphantis T, Inagaki M, Iglesias-Gonzalez M, Jeon HJ, Jetté N, Khamseh ME, Kiely KM, Kohrt BA, Kwan Y, Lara MA, Levin-Aspenson HF, Liu SI, Lotrakul M, Loureiro SR, Löwe B, Luitel NP, Lund C, Marrie RA, Marsh L, Marx BP, McGuire A, Mohd Sidik S, Munhoz TN, Muramatsu K, Nakku JEM, Navarrete L, Osório FL, Pence BW, Persoons P, Petersen I, Picardi A, Pugh SL, Quinn TJ, Rancans E, Rathod SD, Reuter K, Rooney AG, Santos IS, Schram MT, Shaaban J, Shinn EH, Sidebottom A, Simning A, Spangenberg L, Stafford L, Sung SC, Suzuki K, Tan PLL, Taylor-Rowan M, Tran TD, Turner A, van der Feltz-Cornelis CM, van Heyningen T, Vöhringer PA, Wagner LI, Wang JL, Watson D, White J, Whooley MA, Winkley K, Wynter K, Yamada M, Zeng QZ, Zhang Y, Thombs BD, Benedetti A; Depression Screening Data (DEPRESSD) PHQ Group: Data-Driven Cutoff Selection for the Patient Health Questionnaire-9 Depression Screening Tool. JAMA Network Open 7(11): e2429630, Nov 2024.

fd Loewinger G, Levis AW, Pereira F: Nonparametric causal inference for optogenetics: sequential excursion effects for dynamic regimes. ArXiv [Preprint] arXiv: 2405.18597v2, Oct 2024.

12c Alexander W. Levis, Rajarshi Mukherjee, Rui Wang, Sebastien Haneuse: Robust causal inference for point exposures with missing confounders. Canadian Journal of Statistics Page: e11832, Sept 2024 Notes: doi.org/10.1002/cjs.11832.

14a Takatsu K, Levis AW, Kennedy E, Kelz R, Keele L: Doubly robust machine learning-based estimation methods for instrumental variables with an application to surgical care for cholecystitis Journal of the Royal Statistical Society 188(4): 1003-1028, Sep 2024.

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