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. 

Maya’s research interests include the treatment of HIV resistant to antiretroviral drugs,
the use of antiretroviral therapy in the developing world, and the use of machine
learning methods to estimate the effects of viral mutations. Methodologically, she is
interested in the application of causal inference methods to observational clinical
datasets and the development of methods to estimate individualized treatment strategies
(known as dynamic treatment regimes). Maya has 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.

Articles

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Biomarker discovery using targeted maximum-likelihood estimation: Application to the treatment of antiretroviral-resistant HIV infection (with Oliver Bembom, Soo-Yon Rhee, W Jeffrey Fessel, Sandra E. Sinisi, Robert W. Shafer, and Mark J. van der Laan), Statstics in Medicine (2008)
 

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Direct Effect Models (with Mark J. van der Laan), International Journal of Biostatistics (2008)
 

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Long-term consequences of the delay between virologic failure of highly active antiretroviral therapy and regimen modification (with Mark J. van der Laan, Napravnik Sonia, Joseph J. Eron, Richard G. Moore, and Steven G. Deeks), AIDS (2008)
 

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History-Adjusted Marginal Structural Models to Estimate Time-Varying Effect Modification (with Steven Deeks, Jefferey Martin, and Mark van der Laan), American Journal of Epidemiology (2007)
 

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Hospital-based surveillance of meningococcal meningitis in Salvador, Brazil (with Soraia Cordeiro, Alan Neves, Cassio Ribeiro, Edilane Gouveira, Guilherme Ribeiro, Tatiana Lobo, Joice Reis, Katia Salgado, Mittermeyer Reis, and Albert Ko), Transactions of the Royal Society of Tropical Medicine and Hygiene (2007)
 

Contributions to Books

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Identifying important explanatory variables for time-varying outcomes. (with Oliver Bembom and Mark J. van der Laan), Fundamentals of Data Mining in Genomics and Proteomics (2006)
 

The healthcare system and HIV epidemic in Brazil. (with Claudia Travassos, Francisco I. Bastos, Mariana Hacker, Eduard J. Beck, and Jose Carvalho de Noronha), The HIV Pandemic: local and global implications. (2005)
 

Management of HIV/AIDS: The Brazilian experience. (with Francisco I. Bastos, Diane Kerrigan, and Marie-Claude Bioly), Antiretroviral treatment: Experiences and challenges. [In French] (2004)
 

Selected Technical Reports

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Diagnosing Bias in the Inverse Probability of Treatment Weighted Estimator Resulting from Violation of Experimental Treatment Assignment (with Yue Wang, David Bangsberg, and Mark J. van der Laan), U.C. Berkeley Division of Biostatistics Working Paper Series (2006)
 

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Estimation of Direct and Indirect Causal Effects in Longitudinal Studies (with Mark J. van der Laan), U.C. Berkeley Division of Biostatistics Working Paper Series (2004)