Susan A Murphy
Affiliation: University of Michigan
- A strategy for optimizing and evaluating behavioral interventionsLinda M Collins
The Methodology Center, Department of Human Development and Family Studies, The Pennsylvania State University, University Park 16802, USA
Ann Behav Med 30:65-73. 2005..Although the optimization of behavioral interventions offers the potential of both public health and research benefits, currently there is no widely agreed-upon principled procedure for accomplishing this...
- Developing adaptive treatment strategies in substance abuse researchSusan A Murphy
University of Michigan, Institute for Social Research, Ann Arbor, MI 48106 1248, USA
Drug Alcohol Depend 88:S24-30. 2007..Simple analyses that can be used with the SMART design are described. Furthermore, the SMART design is compared with standard experimental designs...
- Screening Experiments for Developing Dynamic Treatment RegimesS A Murphy
Department of Statistics, University of Michigan, Ann Arbor, MI 48109
J Am Stat Assoc 104:391-408. 2009..Furthermore we provide an analysis model that can be used to screen the factorial effects. We demonstrate the proposed methodology using examples motivated in the literature and also via a simulation study...
- Protocol: Adaptive Implementation of Effective Programs Trial (ADEPT): cluster randomized SMART trial comparing a standard versus enhanced implementation strategy to improve outcomes of a mood disorders programAmy M Kilbourne
VA Center for Clinical Management Research, VA Ann Arbor Healthcare System, 2215 Fuller Rd, Mailstop 152, Ann Arbor 48105, MI, USA
Implement Sci 9:132. 2014....
- Methodological challenges in constructing effective treatment sequences for chronic psychiatric disordersSusan A Murphy
Institute for Social Research, University of Michigan, Ann Arbor, MI 48106 1248, USA
Neuropsychopharmacology 32:257-62. 2007..Promising designs and methods are surveyed with a focus on those areas most immediately useful for informing clinical decision making...
- An experimental design for the development of adaptive treatment strategiesS A Murphy
Department of Statistics, Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
Stat Med 24:1455-81. 2005..This paper advocates the use of sequential multiple assignment randomized trials in the development of adaptive treatment strategies. Both a simple ad hoc method for ascertaining sample sizes and simple analysis methods are provided...
- Q-learning: a data analysis method for constructing adaptive interventionsInbal Nahum-Shani
Institute for Social Research, University of Michigan, Ann Arbor, MI 48106, USA
Psychol Methods 17:478-94. 2012..Finally, we use the Adaptive Interventions for Children With ADHD SMART study (Center for Children and Families, University at Buffalo, State University of New York, William E. Pelham as principal investigator) for illustration...
- Time-varying effect moderation using the structural nested mean model: estimation using inverse-weighted regression with residualsDaniel Almirall
Institute for Social Research, University of Michigan, Ann Arbor, MI 48104, U S A
Stat Med 33:3466-87. 2014..We illustrate the methodology in a case study to assess if time-varying substance use moderates treatment effects on future substance use...
- Just-in-Time Adaptive Interventions (JITAIs) in Mobile Health: Key Components and Design Principles for Ongoing Health Behavior SupportInbal Nahum-Shani
Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
Ann Behav Med . 2016....
- Experimental design and primary data analysis methods for comparing adaptive interventionsInbal Nahum-Shani
Institute for Social Research, University of Michigan, Ann Arbor, MI 48106, USA
Psychol Methods 17:457-77. 2012..We also provide methods for analyzing data from SMART to address primary research questions that inform the construction of a high-quality adaptive intervention...
- SMARTer discontinuation trial designs for developing an adaptive treatment strategyDaniel Almirall
1 Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, Michigan
J Child Adolesc Psychopharmacol 22:364-74. 2012..The objective of this article is to illustrate how a SMART study is related to the standard discontinuation trial design, while addressing additional clinically important questions with similar trial resources...
- Sample size calculations for micro-randomized trials in mHealthPeng Liao
Department of Statistics, University of Michigan, MI, 48109, Ann Arbor, U S A
Stat Med 35:1944-71. 2016..This work is motivated by our collaboration on the HeartSteps mobile application designed to increase physical activity. Copyright © 2015 John Wiley & Sons, Ltd. ..
- Subgroups analysis when treatment and moderators are time-varyingDaniel Almirall
Institute for Social Research, University of Michigan, 426 Thompson Street, Suite 2204, Ann Arbor, Mi 48104 2321, USA
Prev Sci 14:169-78. 2013..The methodology is illustrated using longitudinal data to examine the time-varying effects of receiving community-based substance abuse treatment as a function of time-varying severity (or need)...
- Developing multicomponent interventions using fractional factorial designsBibhas Chakraborty
Department of Statistics and The Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
Stat Med 28:2687-708. 2009..As an example, we consider the use of a screening study in the development of a multicomponent smoking cessation intervention. Simulation results are provided to support the discussions...
- Customizing treatment to the patient: adaptive treatment strategiesSusan A Murphy
Drug Alcohol Depend 88:S1-3. 2007
- Constructing evidence-based treatment strategies using methods from computer scienceJoelle Pineau
McGill University, School of Computer Science, Montreal, Que H3A 2A7, Canada
Drug Alcohol Depend 88:S52-60. 2007..The methodology is illustrated with data from the STAR*D trial, a multi-step randomized study of treatment alternatives for individuals with treatment-resistant major depressive disorder...
- Assessing the total effect of time-varying predictors in prevention researchBethany Cara Bray
The Methodology Center, Department of Human Development and Family Studies, The Pennsylvania State University, University Park, Pennsylvania 16801, USA
Prev Sci 7:1-17. 2006..The above two methods are illustrated by addressing the motivating question. Implications for prevention researchers who wish to estimate total causal effects using longitudinal observational data are discussed...
- A conceptual framework for adaptive preventive interventionsLinda M Collins
The Methodology Center and Department of Human Development and Family Studies, The Pennsylvania State University, University Park, Pennsylvania 16802, USA
Prev Sci 5:185-96. 2004..In this paper, we offer a conceptual framework for adaptive interventions, discuss principles underlying the design and evaluation of such interventions, and review some areas where additional research is needed...
- Two-level proportional hazards modelsJerry J Maples
The Methodology Center and Department of Statistics, Pennsylvania State University, 326 Thomas Building, University Park, Pennsylvania 16802, USA
Biometrics 58:754-63. 2002..We utilize a two-level hazard model to examine how education and access to education for children covary with the initiation of permanent contraceptive use...
- Methodology for Adaptive Treatment StrategiesSusan Murphy; Fiscal Year: 2005..We will write a joint position paper identifying the major challenges and potential solutions and we will form small collaborative groups that will work to address these methodological challenges. ..
- Reducing Drug Abuse with Individually Tailored TreatmentSusan Murphy; Fiscal Year: 2006..The K-02 award would enable me to extend this research to the design of individually tailored treatments and to expand the methodology for evaluation of these treatments. ..