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Brent A. Johnson, PhD

Brent JohnsonProfessor of Biostatistics
 Professor of Opthalmology
 Professor of Neurology
 PhD, North Carolina State University 


Contact Information

University of Rochester
Dept of Biostatistics and Computational Biology
265 Crittenden Boulevard, CU 420-630
Rochester, New York 14642-0630
 
Office: Saunders Research Building 4.142
Phone: (585) 273-1869
E-mail: brent_johnson@urmc.rochester.edu

Research Projects

Descriptions of my current research projects and R code downloads can be found on my lab page.

Research Interests

My methodological interests include semi-parametric methods for missing data, longitudinal data, and survival analysis. In some of my work and student projects, these interests come together in the analysis of observational data, causal inference, dynamic treatment regimes, and personalized medicine. I serve as one of the statistical trainers for Dr. Sally Thurton’s T32 environmental health biostatistics training grant. On the substantive side, I collaborate with colleagues and researchers across the university and abroad, over several disciplines, but mostly in public health and medicine. I have collaborated in HIV epidemiology and prevention for more than 20 years and was the core director of the Biostatistics and Bioinformatics Core in the University of Rochester’s Center for AIDS Research.  I currently serve as the on-call statistician for the Department of Ophthalmology and Flaum Eye Institute. Other groups with whom I collaborate actively include the School of Nursing, and departments of cardiology, neurology and family medicine.

Selected References

Peer Reviewed Journal Articles

  • †Artman W, Johnson BA, Lynch KG, McKay JR, Ertefaie A. (2022) Bayesian set of best dynamic treatment regimes and sample

    size determination for SMARTs with binary outcomes. Statistics in Medicine 41(9):1688–1708.

  • ∗Rice JD, Johnson BA, Strawderman RL. (2022) Screening for chronic diseases: optimizing lead time through balancing prescribed

    frequency and individual adherence. Lifetime Data Analysis 28(4): 605-636.

  • ∗Bhattacharya I, Johnson BA, Artman WA, Wilson A, Lynch KA, McKay JR, Ertefaie A. (2023) A non-parametric Bayesian

    approach to adjust for partial compliance in sequential decision making. Statistics in Medicine 42(15):2661-2691.

  • ∗Bhattacharya I, Johnson BA, Ertefaie A. (2023) Nonparametric Bayesian Q-learning for optimization of dynamic treatment

    regimes in the presence of partial compliance. Statistical Methods in Medical Research 32(9):1649-1663.

  • †Artman W, ∗Bhattacharya I, Ertefaie A, Lynch KG, McKay JR, Johnson BA. (2024) A marginal structural model for partial

    compliance in SMARTs. Annals of Applied Statistics 18(2):905-921.

  • Ertefaie A, Duttweiler L, Johnson BA, van der Laan MJ (2026) Nonparametric estimation of a covariate-adjusted counterfactual

    treatment regimen response curve. Annals of Statistics (In Press).

  • ∗Sharghi S, Stoll KE, Thurston SW, Barrett E, Johnson B (2026) Implementing empirical likelihood within the causal inference

    framework to study causal effects of air pollution on reproductive development. Statistical Methods in Medical Research (In Press)

    https://doi.org/10.1177/09622802261435966

Collaborative Publications

  • Dogra N, Redmond BV, Lilley S, Johnson BA, Lam BL, Tamhankar M, Feldon SE, Fahrenthold B, Yang J, Huxlin KR, Cavanaugh

    MR (2024) Vision-related quality of life after unilateral occipital stroke. Brain and Behavior 14(7): e3582.

    CORRECTION: printed in Brain and Behavior 16: e71390.

  • Keane BP, Abrham YT, ColeMW, Johnson BA, Hu B, Cocuzza CV (2024) Functional dysconnectivity of visual and somatomotor

    networks yields a simple and robust biomarker for psychosis. Molecular Psychiatry 30:1539-1547.

  • Contento N, Paul DA, Vates GE, Johnson B, Brehm Z†, Shafiq I. (2025) Dopamine agonists and weight changes in prolactinoma

    patients. Pituary 28(2):1-9.

  • Fiscella K, Luque A, Johnson BA, Sanders M, Sass E, Cassells A, Holder T, Thomas M, Harrington D, Tian Y, Carroll J, Venci J,

    Williams SK, Tobin JN (2026) Translating the ABCSs into HIV care: A stepped wedge cluster randomized clinical trial. Journal

    of General Internal Medicine, 1-10. https://doi.org/10.1007/s11606-026-10482-8.

  • Singh R et al. (2026) A 3D iPSC retina model reveals non-neuronal mechanism of photoreceptor dengeneration in a lysosomal

    storage disorder. Science Translational Medicine (In press)

Books, Monographs, Chapters & Reviews

  • ∗Rice J, Strawderman RL, Johnson BA. (2016) “Statistical tests of regularity among groups with HIV self-test data” in Quantitative

    Methods for HIV/AIDS Research eds. Chow, Chan, and Hudgens, M. CRC/Chapman & Hall.

  • Li L, Johnson BA. (2015) “Causal ensembles for evaluating the effect of delayed switch to second-line antiretroviral regimens,” in

    Statistical Causal Inferences and Their Applications in Public Health Research eds. He H, Wu P, and Chen D. Springer.

 

 

Last updatedOctober 26,2026