Robert Weiss, PhD

Core Scientist, Methods Core


Robert E. Weiss, PhD, is Professor with tenure in the Department of Biostatistics in the UCLA School of Public Health and an elected fellow of the American Statistical Association, the Institute of Mathematical Statistics and the International Society for Bayesian Analysis. His biostatistical research areas include (i) development of hierarchical regression models for discrete and continuous outcomes, (ii) modeling of discrete and continuous univariate and multivariate longitudinal data, (iii) Bayesian methodology and (iv) diagnostics and graphics. He specializes in analysis of data on human behavior, particularly sex and drug behaviors and for HIV+ and HIV-at risk populations and is author of a textbook Modeling Longitudinal Data (2005) published by Springer.

FEATURED PUBLICATIONS:

1. Swendeman, D., Rotheram-Borus, M. J., Arnold, E. M., Fernández, M. I., Comulada, W. S., Ishimoto, K., Gertsch, W., Murphy, D. A., Ocasio, M., Lee, S. J., Lewis, K. A., & Adolescent HIV Medicine Trials Network (ATN) CARES Team (2024). Strategies to Facilitate Service Utilization Among Youth at Risk for HIV: A Randomized Controlled Trial (ATN 149). AIDS and behavior, 10.1007/s10461-024-04545-2. Advance online publication.


2. Rotheram-Borus, M. J., Tomlinson, M., Stewart, J., Skiti, Z., Rabie, S., Wang, J., Almirol, E., Vogel, L., Christodoulou, J., & Weiss, R. E. (2024). Soccer and Vocational Training are Ineffective Delivery Strategies to Prevent HIV and Substance Abuse by Young, South African Men: A Cluster Randomized Controlled Trial. AIDS and behavior, 28(12), 3929–3943.


3. Swendeman, D., Rotheram-Borus, M. J., Arnold, E. M., Fernández, M. I., Comulada, W. S., Lee, S. J., Ocasio, M. A., Ishimoto, K., Gertsch, W., Duan, N., Reback, C. J., Murphy, D. A., Lewis, K. A., & Adolescent HIV Medicine Trials Network (ATN) CARES Study Team (2024). Optimal strategies to improve uptake of and adherence to HIV prevention among young people at risk for HIV acquisition in the USA (ATN 149): a randomised, controlled, factorial trial. The Lancet. Digital health, 6(3), e187–e200.

Last updated: 1/17/2025