Dr. Giano is a Research Associate in the Department of Biostatistics & Informatics and a faculty member in the Center for Innovative Design & Analysis (CIDA). Dr. Giano’s research interests include the relationship between health disparities and social determinants of health across racial/ethnic, sex, sexual orientation, and geographic profiles. In particular, he has conducted extensive research on adverse childhood experiences (ACEs; defined as abuse, neglect, and other adversity before the age of 18), and how those experiences translate to health outcomes in adulthood across various demographic characteristics. In this domain Dr. Giano specializes in mixture modeling (e.g., latent class analysis), structural equation modeling, hierarchical linear modeling, and psychometric/factor analyses. When Dr. Giano isn’t conducting analyses, you can find him on the ski slopes, tennis court, or at the dog park with his son, Cookie, a Jack Russell Terrier.
Areas of Expertise
- Mixture modeling
- Structural equation modeling
- Hierarchical linear modeling
- Ssychometric/factor analysis
Education, Licensure & Certifications
- Giano, Z., Schwab-Reese, L., Misha, A. A., Hubach, R. D., Johnson, R. L., Epperson, C. N., & Sammel, M. D. (2023). Intersectionality and ACEs: Comparing Subgroups of Sex, Race/Ethnicity, and Sexual Orientation. American Journal of Preventive Medicine.
- Giano, Z., Ernst, C., Snider, K., Abby, D., O'Neil, A., Hubach, R.D. (2021). Individual ACE domains and depression: Investigating which specific domains are associated with depression in adulthood. Child Abuse & Neglect, 122, 105335.
- Giano, Z., O’Neil, A.M., & Hubach, R. D. (2021). The effects of individual and dual ACE domains on binge drinking: Comparisons by gender. Substance Use and Misuse, 56(11), 1642-1650.
- Giano, Z., Camplain, R… & Hubach, R. D. (In Press). Adverse childhood events in American Indian/Alaska Native populations. American Journal of Preventive Medicine, 60(2), 213-221.
- Giano, Z., Currin, J.M., Deboy, K.R., & Hubach, R.D. (2020). Identifying distinct subgroups of LGB youth for suicide risk: a latent profile analysis. Journal of Adolescent Health, 67(2), 194-200.