Publication
Peer-reviewed and Proceedings
Peer-reviewed and Proceedings
Ramezani, N., Taxman, F.S., Mackey, B., Viglione, J., & Johnson, J. (2026). Implementation mechanisms used in national efforts to improve community services to keep individuals with mental illness out of local jails. Implementation Science Communications, 7, 15.
Alemi, F., Lyberger, K., Ramezani, N., Franzuela Cardenas, V., & King, R. C. (2026). Bias in AI-guided Management of Patients with Major Depressive Disorders. Journal of Health Equity, 3(1), 2606724.
Ramezani, N. & Slawski, M. (2025). Lasso Penalization for High-Dimensional Beta Regression Models: Computation, Analysis, and Inference. Stat, 14(4), e70106.
Viglione, J., Ramezani, N., Thurman, T., Johnson, J., & Taxman, F.S. (2025). Reducing Confounding in Natural Experiments: Evaluating a Multilevel Matching Approach. Journal of Experimental Criminology, 1-19.
Johnson, J., Hailemariam, M., Taxman, F.S., Mackey, B., Eshetu, H., Wei, X., Zhorayev, O., Shukla, N., Ramezani, N., & Rosen, R. (2025). Strengthening community services to keep individuals with mental illness out of jail: A qualitative analysis of implementation mechanisms in 52 U.S. counties. Health & Justice.
Kubik, M. & Ramezani, N. (2025). Physical activity and change in systolic blood pressure among older Black adults who access community dining sites and the congregate meal program. Journal of Racial and Ethnic Health Disparities.
Zhorayev, O.*, Ramezani, N., Johnson, J., Shukla, N., Mackey, B., Viglione, J., Taxman, F.S. (2025). County Characteristics Associated with Implementation Strategies to Reform the Use of Jail for People with Behavioral Health Problems. Criminal Justice and Behavior, 00938548251370367. * Student author
Taxman, F. S., Shukla, N., Ramezani, N., Viglione, J., & Johnson, J. E. (2025). Exploring county-level resources influencing evidence-based practices and treatment uptake in behavioral health settings. Corrections, 1-16.
Mackey, B. J., Ramezani, N., Viglione, J., Thurman, T., Johnson, J. E., & Taxman, F. S. (2024). Implementing Reform: Approaches to Alter the Use of Local Jail for People with Behavioral Health Conditions. International Journal of Offender Therapy and Comparative Criminology, 0(0).
Mackey, B. J., Johnson, J. E., Ramezani, N., Hailemariam, M., Rosen, R. K., Thurman, T., Viglione, J., & Taxman, F. S. (2025). The Who, What, and How of Interagency Criminal Justice–Behavioral Health Teams: Developing and Sustaining Collaborations. Criminal Justice and Behavior, 52(1), 61-78.
Clark, K. J., Viglione, J., Sneed, R., Ramezani, N., Taxman, F. S., & Johnson, J. E. (2024). Cascade of care for substance use and mental health disorders for justice-involved populations. Journal of substance use and addiction treatment, 167, 209488.
Ramezani, N., Taylor, B. G., Balawajder, E. F., MacLean, K., Pollack, H. A., Schneider, J. A., & Taxman, F. S. (2024). Predictors of mental health among US adults during COVID-19 early pandemic, mid-pandemic, and post-vaccine eras. BMC Public Health, 24(1), 643.
Johnson, J. E., Ramezani, N., Viglione, J., Hailemariam, M., & Taxman, F. S. (2024). Recommended Mental Health Practices for Individuals Interacting With U.S. Police, Court, Jail, Probation, and Parole Systems. Psychiatric services (Washington, D.C.), 75(3), 246–257.
Ramezani, N., Hailemariam, M., Breno, A. J., Mackey, B. J., Cuellar, A. E., Johnson, J. E., & Taxman, F. S. (2023). Impact of County-level health infrastructure on participation in a reform effort to reduce the use of jail for individuals with mental health disorders. Health & Justice, 11(1), 27.
Ropski, M. K., Pike, A. L., & Ramezani, N. (2023). Analysis of illness and length of stay for cats in a foster based rescue organization compared to cats housed in a cat café. Journal of Veterinary Behavior.
Ramezani, N.*, Breno, A. J., Mackey, B. J., Viglione, J., Cuellar, A. E., Johnson, J. E., & Taxman, F. S. (2022). The relationship between community public health, behavioral health service accessibility, and mass incarceration. BMC health services research, 22(1), 966. https://doi.org/10.1186/s12913-022-08306-6
*Media Coverage:
Interviewed and featured in Salon.com: https://www.salon.com/2022/09/05/have-american-jails-become-the-inferior-replacement-for-mental-hospitals/
Featured in phys.org: https://phys.org/news/2022-08-populations-mental-health.html
Ramezani, N., Bhati, A., Murphy, A., Routh, D., & Taxman, F. S. (2022). Assessing the reliability and validity of the Risk-Need-Responsivity (RNR) program tool. Health & Justice, 10(1), 1-16. https://doi.org/10.1186/s40352-022-00182-w
Breno, A., Ramezani, N.*, Guastaferro, W., Cummings, A., Murphy, A., & Taxman, F. S. (2022). What Matters More in Explaining Drug Court Graduation and Rearrest: Program Features, Individual Characteristics, or Some Combination. International journal of offender therapy and comparative criminology. https://doi.org/10.1177/0306624X221086558 *Ramezani & Breno share first authorship
Rossheim, M.E., Khoshhal, B., Karon, S., Cheskin, L.J., Trangenstein. P.J., Frankenfeld, C.L., Ramezani, N., & Cuellar, A.E. (2022). Substance Use and Firearm Access Among College Freshmen. Journal of American College Health. https://doi.org/10.1080/07448481.2022.2068959
Cuellar, A. E., Ramezani, N., Johnson, J. E., Breno, A., & Taxman, F. (2021) Drivers of County Engagement in Criminal Justice-Behavioral Health Initiatives, Psychiatric Services. https://doi.org/10.1176/appi.ps.202100485
Johnson, J. E., Viglione, J., Ramezani, N., Cuellar, A. E., Hailemariam, M., Rosen, R., Breno, A., & Taxman, F. (2021). Protocol for a quasi-experimental, 950 county study examining implementation outcomes and mechanisms of Stepping Up, a national policy effort to improve mental health and substance use services for justice-involved individuals. Implementation Science, 16, 31. https://doi.org/10.1186/s13012-021-01095-2
Cueller, A., Adams, L., De Jonge, L., Espina, V., Espinoza, L., Fischer, S., Frankenfeld, C., Hines, D., Kornienko, O., Lawrence, H., Rana, Z., Ramezani, N.*, Rossheim, M., Short, J., Waithaka, E., Wilson, A., & Cheskin, L (2021). Protocol for The Mason: Health Starts Here prospective cohort study of young adult college students. BMC Public Health, 21(1), 1-15. https://doi.org/10.1186/s12889-021-10969-5 *Except for first and last authors, authors are listed alphabetically to acknowledge equal contributions
Peffer, M. E., Ramezani, N., Quigley, D., Royse, E. & Bruce C. (2020). Learning analytics to assess beliefs about science: evolution of expertise as seen through biological inquiry. CBE—Life Sciences Education, 19(3), ar47.
Peffer, M. E. and Ramezani, N. (2019). Assessing epistemological beliefs of experts and novices via practices in authentic science inquiry. International Journal of STEM Education, 6(1), 3. https://doi.org/10.1186/s40594-018-0157-9
Raissi, M., Ramezani, N., & Seshaiyer, P. (2019). On parameter estimation approaches for predicting disease transmission through optimization, deep learning and statistical inference methods. Letters in Biomathematics, 1-26. https://doi.org/10.1080/23737867.2019.1676172
Alemi, F., Carmack, S., Gustafson, D., Jacobson, J., Kreps, G.L., Nambisan, P., Ramezani, N., Simons, J. and Xiao, Y. (2023). Support for the Kids Online Safety Act (KOSA), With Caution. Quality Management in Healthcare, pp.10-1097.
Ramezani, N.* (2020). Modern statistical modeling in machine learning and big data analytics: Statistical models for continuous and categorical variables. In Handbook of Research on Big Data Clustering and Machine Learning (pp. 135-151). IGI Global.
*Featured and included as a reprinted chapter: Ramezani, N. (2022). Modern statistical modeling in machine learning and big data analytics: Statistical models for continuous and categorical variables. In Research Anthology on Machine Learning Techniques, Methods, and Applications (pp. 90-106). IGI Global. DOI: 10.4018/978-1-6684-6291-1.ch007
Gittner, K., Ramezani, N., Mobley, K. (2022). Embracing cross-loading to improve latent variable models fit: A comparison of available options in SAS, Mplus, and R. In proceedings of the Southeast SAS Users Group Conference. Cary, NC: SAS Institute Inc.
Gittner, K., Ramezani, N., Mobley, K. (2022). Embracing cross-loading to Improve Latent Variable Models Fit: A Comparison of Exploratory and Bayesian Structural Equation Modeling. Submitted to JSM Proceedings.
Ramezani, N., Breno, A., Mackey, B., Cuellar, A., Viglione, J., Chase, A., Johnson, J., Taxman, F. (2020). Multilevel matching in natural experimental studies: Application to Stepping Up counties. Alexandria, VA: American Statistical Association*. JSM Proceedings. 2408-2419. *Also available in: https://pubmed.ncbi.nlm.nih.gov/33841051/
Ramezani, N. (2020). Analyzing non-normal data: Application to missing data problems. In proceedings of the SAS Global Forum Conference. Cary, NC: SAS Institute Inc.
Ramezani, N. (2019). Advanced statistical modeling within machine learning and big data analytics. In proceedings of the Southeast SAS Users Group Conference. Cary, NC: SAS Institute Inc.
Ramezani, N., Gittner, K. (2018). Confirmatory factor analysis in SAS: Application to public administration. In proceedings of the SAS Global Forum Conference. Cary, NC: SAS Institute Inc.
Ramezani, N. (2018). The importance of statistical power in social and behavioral sciences. Translational Criminology, Spring (2018), 22.
Ramezani, N. (2017). Modeling longitudinal and multilevel data in SAS. In proceedings of the Western Users of SAS Conference. Cary, NC: SAS Institute Inc.
Ramezani, N., Ramezani, A. (2017). Analyzing categorical and ordinal data in the presence of missing data: application to length of stay in social and biomedical studies. In proceedings of the Western Users of SAS Conference. Cary, NC: SAS Institute Inc.
Ramezani, N. (2017). Analyzing correlated data in SAS. In proceedings of the SAS Global Forum Conference. Cary, NC: SAS Institute Inc.
Ramezani, N., Ramezani, A. (2016). Analyzing non-normal data with categorical response variables. In proceedings of the Southeast SAS Users Group Conference. Cary, NC: SAS Institute Inc.
Ramezani, N. (2016). How to analyze correlated and longitudinal data. In proceedings of the Western Users of SAS Conference. Cary, NC: SAS Institute Inc.
Ramezani, N. (2016). Analyzing non-normal binomial and categorical response variables under varying data conditions. In proceedings of the SAS Global Forum Conference. Cary, NC: SAS Institute Inc.
Ramezani, N. (2015). Approaches for missing data in ordinal multinomial models. In JSM Proceedings, Biometrics section. Alexandria, VA: American Statistical Association Journal. 2809-2823.
Ramezani, N. (2014). Comparison of survival analysis and logistic regression for correlated data. In JSM Proceedings, Biometrics section. Alexandria, VA: American Statistical Association Journal. 2495-2504.