Maya Petersen is an Assistant Professor of Biostatistics and Epidemiology at the
University of California, Berkeley. She received an M.D. from the University of
California, San Francisco and a Ph.D. in Biostatistics from Berkeley.
My research interests include the treatment of HIV resistant to antiretroviral drugs, the
use of antiretroviral therapy in the developing world, and combined approaches for
prevention and treatment of HIV infection. Methodologically, I am interested in the
application of causal inference methods to observational clinical datasets, the
development of methods to estimate individualized treatment strategies (known as dynamic
treatment regimes), and the evaluation of community-based interventions. I have a strong
interest in the interface between biostatistics, epidemiology, and clinical medicine,
including the communication of new statistical methods to non-statistical audiences, and
the application of advances in biological and clinical understanding of disease to drive
the development of new statistical methodologies.
Together with Judea Pearl, Jasjeet Sekhon, and Mark van der Laan, I am pleased to
announce the launch of the Journal of Causal Inference - a new journal that publishes
papers on theoretical and applied causal research across the range of academic
disciplines that use quantitative tools to study causality. Our first issue is planned
for early 2012 and our website is now open for submissions.
http://www.bepress.com/jci
Articles
Contributions to Books
Selected Technical Reports
