Roles
Professor
Co-Director, Center for HIV and Research on Mental Health
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Biography
Daniel J. Feaster is a tenured Professor of Biostatistics within the Department of Public Health Sciences at the University of Miami Miller School of Medicine with over 30 years of experience in design, implementation, and analysis of substance abuse and HIV-related studies. He is or has been the statistician on over 30 federally funded projects, including center grants, R01s, cooperative agreements, and multi-site clinical trials. His areas of expertise include multi-level (also known as hierarchical linear) modeling, structural equation modeling, and longitudinal analysis and methods for handling missing data. Currently, he serves as an MPI and the biostatistician for the Florida Node of NIDA's Clinical Trials Network, which is in its 24th year of existence. In addition, he is a Co-director of the recently re-funded HIV and Mental Health Center (CHARM). His recent methodological research has focused on the use of finite mixtures and machine-learning techniques to explore heterogeneity of treatment effects. -
Education & Training
Education
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Honors & Awards
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Teaching Interests
Longitudinal and Multilevel Analysis -
Research Interests
Much of my work has focused on the HIV prevention and HIV treatment cascades. A large trial I co-lead focused on the role of risk-reduction counseling associated with HIV rapid testing. Counseling has been linked with HIV testing since near the inception of antibody testing, but there had been no recent assessment of its effectiveness in the era of rapid testing. These trials showed that counseling in conjunction with HIV rapid testing has little impact on 1) sexual risk behaviors of patients in drug treatment or 2) cumulative 6-month incidence of STIs for clients of STD clinics. As a result of this research, the CDC has recently dropped its recommendation to include brief risk reduction counseling at the time of testing. I have also focused on family-based intervention for HIV outcomes of an adult family member. One trial a family-based intervention intervention for medication adherence in women and another for male prisoners living with HIV in California. These interventions have moderate impact on women in substance abuse recovery and no evidence of impact with male prisoners. Male prisoners had a long history of incarceration and many of them had few family left that would work with them.One of my areas of specialization in biostatistics is in longitudinal and multi-level modeling. I have published multiple articles highlighting their use and interpretation in my family intervention applications. Finally, my experience in multi-site clinical trials has led to numerous publications on appropriate methods for their planning and analysis. In addition, I have been actively pursuing the use of machine learning approaches to predict individual-level treatment effects with the eventual goal of guiding treatment assignment to the modality that is most likely to have a positive impact on the individual. -
Publications
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Professional Activities
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