Publication

• 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.