Ph.D. University of North Carolina, Chapel Hill. Statistics. 1989.
M.S. Tulane University. Statistics. 1983.
B.S. Louisiana State University. Mathematics. 1980.
My current primary interest is in causal inference and multi-stage decisions sometimes called dynamic treatment regimes or adaptive treatment strategies. Dynamic treatment regimes are individually tailored treatments; formally a dynamic treatment regime is a sequence of decision rules that specify when to alter the therapy and specify which intensity or type of subsequent therapy should be offered. The decision rules employ variables such as patient response, risk, burden, adherence, and preference, collected during prior therapy. In a dynamic regime, the decision rules are specified prior to the beginning of the initial therapy. These regimes hold the promise of maximizing treatment efficacy by avoiding ill effects due to over-treatment and by providing increased treatment levels to those who can benefit. Once developed, the decision rules can be used to augment/enhance the clinical judgment used in practice.
I am particularly interested in developing statistical methods and experimental designs that can be used in formulating dynamic treatment regimes. This work is funded by National Institute on Drug Abuse and by National Institute of Mental Health. I work with researchers at The Methodology Center on these topics.
Almirall D., Compton S.N., Rynn M.A., Walkup J.T., S.A. Murphy, SMARTer Discontinuation Trials: With Application to the Treatment of Anxious Youth. To appear in the Journal of Child and Adolescent Psychopharmacology. To obtain a copy, send email to Daniel Almirall
I. Nahum-Shani, M. Qian, D. Almiral, W.. Pelham, B. Gnagy, G. Fabiano, J. Waxmonsky, J. Yu and S.A. Murphy. Experimental Design and Primary Data Analysis Methods for Comparing Adaptive Interventions. Technical Report, SAS Code To appear in Psychological Methods
I. Nahum-Shani, M. Qian, D. Almiral, W.. Pelham, B. Gnagy, G. Fabiano, J. Waxmonsky, J. Yu and S.A. Murphy. Q-Learning: A Data Analysis Method for Constructing Adaptive Interventions. Technical Report, R Code To appear in Psychological Methods
D. Almirall, D. Lizotte and S.A. Murphy SMART Design Issues and the Consideration of Opposing Outcomes, Discussion of the paper, Evaluation of Viable Dynamic Treatment Regimes in a Sequentially Randomized Trial of Advanced Prostate Cancer by Wang et al. To appear in JASA.
H. Lei, I. Nahum-Shani, K. Lynch, D. Oslin and S.A. Murphy A SMART Design for Building Individualized Treatment Sequences, The Annual Review of Clinical Psychology (2012), Review in Advance first posted online on December 12, 2011 Vol. 8: 21-48.
D. Almirall, S. N. Compton, M. Gunlicks-Stoessel, N. Duan, S.A. Murphy. Designing a Pilot Sequential Multiple Assignment Randomized Trial for Developing an Adaptive Treatment Strategy. Statistics in Medicine Advance online publication. doi:10.1002/sim.4512 PMCID: PMC22438190