American Statistical Association
New York City
Metropolitan Area Chapter

New York State Psychiatric Institute
at Columbia University Medical Center
Biostatistics Seminar



Susan A. Murphy, Ph.D.
H.E. Robbins Professor of Statistics
Professor of Psychiatry and Research Professor (Institute for Social Research)
University of Michigan


Dynamic Treatment Regimes are time-varying individualized interventions. They individualize treatment via decision rules that specify when and how treatment should change according to both pretreatment variables and time-varying outcomes. These regimes operationalize the adaptive, sequential, decision making inherent in clinical practice. We discuss some of the issues that arise when using data to construct dynamic treatment regimes and provide examples using the large clinical trials, STAR*D and CATIE.

Biographical Note

Dr. Susan Murphy is the H.E. Robbins Professor of Statistics, Professor of Psychiatry and Research Professor (Institute for Social Research) at the University of Michigan. She works on methodology that can be used to construct individually tailored treatments. These types of treatments are called dynamic treatment regimes (Statistics), adaptive treatment strategies (Mental Health & Substance Abuse) and policies (CS, Engineering and Operations Research). Her primary interest concerns the improvement of methodology for use in the construction of these treatments in mental health and substance abuse. Dr. Murphy is also currently co-editor of the Annals of Statistics.

Date: Tuesday, February 3, 2009
Time: 3:00 - 4:00 P.M.
Location: New York State Psychiatric Institute
1051 Riverside Drive
6th Floor Multipurpose Room (6602)
New York, New York


Coffee: 2:45 to 3:00 P.M.
Reception: 4:00 to 4:30 P.M.

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