Meenakshi Subbaraman, PhD, MS
Meenakshi Sabina Subbaraman, PhD, is an associate scientist and postdoctoral fellow at PHI's Alcohol Research Group. Her primary research interests are statistical methods for understanding causal mechanisms, recovery from substance dependence, and how drug/alcohol policies affect substance use. Subbaraman's current work focuses on: 1) predictors of abstinent vs. non-abstinent recovery from substance dependence; and 2) how more liberal marijuana laws affect substance use and other health outcomes. Subbaraman is also a member of the statistical consulting core at the Alcohol Research Group.
In 2011 Subbaraman received the Society for Epidemiologic Research's first-ever award for Methodological Advances from the Next Generation of Epidemiologists. She was also awarded the Research Society on Alcoholism's Junior Investigator Award in 2013.
Subbaraman completed her Master of Science degree in statistics at Stanford University and her doctorate in epidemiology at the University of California, Berkeley. She also holds a Bachelor of Science in statistics and applied probability and a Bachelor of Arts in philosophy, both from the University of California, Santa Barbara.
How Cannabis Use Affects Alcohol Treatment Outcomes
This study uses advanced statistical methods to better understand how cannabis use among individuals recovering from alcohol use disorders affects drinking after treatment. Results will help alcohol treatment providers better understand the risks associated with cannabis use for people of varying demographics and substance use histories.
National Alcohol Research Center Statistical and Data Services Core (A Center Core Component)
The SDS Core provides biostatistical consulting, analysis, and data management support for the Center’s other core and research components and participates actively in Pilot Projects. The SDS Core also involves training activities to enhance statistical capacities of scientific staff at all levels.
The Core also undertakes data archiving and documentation of measures, to increase data value and access, as well as helping assure that appropriate analysis, database storage, and integrity procedures are followed. A series of statistical methodology seminars for staff will increase sophistication in using newer techniques. Experience with cutting-edge statistical methodologies benefits all Center components and simultaneously helps train the next generation of alcohol researchers, improving their effectiveness.