Sam Rosin
Sam Rosin
Ph.D.
Assistant Professor
School: Milken Institute School of Public Health
Department: Biostatistics and Bioinformatics
Contact:
Email:
Sam Rosin
Biostatistics Center
Rockville MD 20852
Sam Rosin is an Assistant Research Professor in the Department of Biostatistics and Bioinformatics of the George Washington University. Dr. Rosin is a co-investigator and statistician at GW’s Biostatistics Center on the Glycemia Reduction Approaches in Diabetes (GRADE) trial. On GRADE, he collaborates with medical researchers on varied scientific projects involving data from continuous glucose monitoring, electrocardiograms, measures of cognitive function, baseline questionnaires, and modeling of glucose tolerance tests, among other sources.
Dr. Rosin’s dissertation research developed methods for estimation of SARS-CoV-2 seroprevalence and vaccine correlates of protection featuring standardization of results to target populations. The methods are currently being applied to data from Phase 3 COVID-19 trials to evaluate antibodies as trial-level vaccine correlates of protection. In addition to infectious diseases and diagnostic medicine, Dr. Rosin has published on the relationship between the human gut microbiome and mental health and on methods for drawing causal inferences.
Expertise
Biostatistics
Epidemiology
Causal inference
Education
Doctor of Philosophy in Biostatistics, University of North Carolina at Chapel Hill, 2023
Bachelor of Arts in Statistics cum laude, Harvard University, 2015
Peer-reviewed publications
Google Scholar: https://scholar.google.com/citations?user=_asbwPkAAAAJ&hl=en
- Shook-Sa, B. E., Zivich, P. N., Rosin, S. P., Edwards, J. K., Adimora, A. A., Hudgens, M. G., & Cole, S. R. (2023). Fusing trial data for treatment comparisons: Single versus multi-span bridging. Statistics in Medicine, in press.
- Rosin, S. P., Shook-Sa, B. E., Cole, S. R., & Hudgens, M. G. (2021). Estimating SARS-CoV-2 seroprevalence. Journal of the Royal Statistical Society: Series A (Statistics in Society), qnad068. https://doi.org/10.1093/jrsssa/qnad068
- Cole, S. R., Edwards, J. K., Breskin, A., Rosin, S., Zivich, P. N., Shook-Sa, B. E., Hudgens, M. G. (2023). Rejoinder: Combining information with fusion designs, and roses by other names. American Journal of Epidemiology, kwad084, https://doi.org/10.1093/aje/kwad084
- Cole, S. R., Edwards, J. K., Breskin, A., Rosin, S., Zivich, P. N., Shook-Sa, B.E., Hudgens, M. G. (2023). Illustration of two fusion designs and estimators. American Journal of Epidemiology, 192(3), 467–474. https://doi.org/10.1093/aje/kwac067
- Chakladar, S., Rosin, S., Hudgens, M. G., Halloran, M. E., Clemens, J., Ali, M., & Emch, M. (2021). Inverse probability weighted estimators of vaccine effects accommodating partial interference and censoring. Biometrics, 78(2), 777-788. https://doi.org/10.1111/biom.13459
- Rosin, S., Xia, K., Azcarate-Peril, M. A., Carlson, A. L., Propper, C.B., Thompson, A. L., Grewen, K., & Knickmeyer, R. C. (2021). A preliminary study of gut microbiome variation and HPA axis reactivity in healthy infants. Psychoneuroendocrinology, 124, 105046. https://doi.org/10.1016/j.psyneuen.2020.105046
- Carlson, A., Xia, K., Azcarate-Peril, M.A., Rosin, S., Fine, J.P., Mu, W., Zopp, J., Kimmel, M., Styner, M., Thompson, A., Propper, C., & Knickmeyer, R.C. Infant gut microbiome associated with fear behavior in a pilot study. Nature Communications, 12(1), 1-16. https://doi.org/10.1038/s41467-021-23281-y
- Barzin, A.*, Schmitz, J. L.*, Rosin, S.*, Sirpal, R., Almond, M., Robinette, C., Wells, S., Hudgens, M., Olshan, A., Deen, S., Krejci, P., Quackenbush, E., Chronowski, K., Cornaby, C., Goins, J., Butler, L., Aucoin, J., Boyer, K., Faulk, J., …, Peden, D. B. (2020). SARS-CoV-2 seroprevalence among a Southern U.S. population indicates limited asymptomatic spread under physical distancing measures. MBio, 11(5), e02426-20. https://doi.org/10.1128/mBio.02426-20