Bo Zhang
Assistant Professor of Biostatistics
Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center
Biography
I am an Assistant Professor of Biostatistics at the Vaccine and Infectious Disease Division of the Fred Hutchinson Cancer Center. I obtained my PhD from the Department of Statistics and Data Science, The Wharton School, University of Pennsylvania under the supervision of Dr. Dylan Small. I am broadly interested in causal inference, design and analysis of observational studies, instrumental variables, and applications of statistical tools to public health sciences. My recent interests include vaccine efficacy trials, immune correlates research, cerebral malaria, and health outcomes research in cardiac surgery.
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Link to my Google Scholar page.
Interests
- Causal Inference
- Comparative Effectiveness Research
- Dose-Response Relationship
- Instrumental Variables
- Observational Studies
- Statistical Matching
- Vaccine Efficacy (VE) Trials
- Immune Correlates Research
Education
PhD in Statistics, 2022
University of Pennsylvania
BS in Mathematics, 2017
Harvey Mudd College
Awards
Bonnie Mathieson Young Investigator Award
New Investigator Award
J. Parker Bursk Prize
Student Paper Award
Young Investigators Award
Featured Publications
(2025).
Manipulating an Instrumental Variable in an Observational Study of Premature Babies: Design, Bounds, and Inference.
Journal of the American Statistical Association (just accepted).
(2025).
Neutralizing antibody immune correlates in COVAIL trial recipients of an mRNA second COVID-19 vaccine boost.
Nature Communications 16, 759..
(2024).
Omicron COVID-19 immune correlates analysis of a third dose of mRNA-1273 in the COVE trial.
Nature Communications 15, 7954..
(2024).
Generalizing the intention-to-treat effect of an active control from historical placebo-controlled trials: A case study of the efficacy of daily oral TDF/FTC in the HPTN 084 study.
Journal of the American Statistical Association 119(548), 2478-2492..
(2023).
Efficient Algorithms for Building Representative Matched Pairs with Enhanced Generalizability.
Biometrics 79(4), 3981-3997.
(2023).
Matching One Sample According to Two Criteria in Observational Studies.
Journal of the American Statistical Association 118(542), 1140-1151..
(2023).
Statistical matching and subclassification with a continuous dose: characterization, algorithm, and application to a health outcomes study.
Annals of Applied Statistics 17(1), 454-475.
(2023).
Estimating and improving dynamic treatment regimes with a time-varying instrumental variable.
Journal of the Royal Statistical Society Series B: Statistical Methodology 85(2), 427-453.
(2023).
Social distancing and COVID-19: Randomization inference for a structured dose-response relationship.
Annals of Applied Statistics 17(1), 23-46.
(2022).
Association of Intraoperative Transesophageal Echocardiography and Clinical Outcomes After Open Cardiac Valve or Aortic Surgery.
JAMA Netw Open. 2022;5(2):e2147820.
(2021).
Association between Transesophageal Echocardiography and Clinical Outcomes after Coronary Artery Bypass Graft Surgery.
Journal of the American Society of Echocardiography, 34(6), 571-581.
(2021).
Bridging preference-based instrumental variable studies and cluster-randomized encouragement experiments: Study design, noncompliance, and average cluster effect ratio.
Biometrics (2021); 1-12.
(2021).
Discussion of Cui and Tchetgen Tchetgen (2020) and Qiu et al.(2020).
Journal of the American Statistical Association 116.533 (2021): 196-199..
(2021).
Estimating optimal treatment rules with an instrumental variable: A partial identification learning approach.
Journal of the Royal Statistical Society: Series B (Statistical Methodology) 83.2 (2021): 318-345..
(2020).
Selecting and ranking individualized treatment rules with unmeasured confounding.
Journal of the American Statistical Association 116.533 (2021): 295-308..
Other Publications and Preprints
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(2023).
High monoclonal neutralization titers reduced breakthrough HIV-1 viral loads in the Antibody Mediated Prevention trials.
Nature Communications 14, 8299..
(2023).
Instrumental variables: To strengthen or not to strengthen?.
Journal of the Royal Statistical Society Series A: Statistics in Society 186(4), 852–873.
(2023).
Testing Biased Randomization Assumptions and Quantifying Imperfect Matching and Residual Confounding in Matched Observational Studies.
Journal of Computational and Graphical Statistics 32(2), 528-538.