Q-learning: A data analysis method for constructing adaptive interventions.
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Q-learning is a regression approach recommended for SMART data to identify tailoring variables that modify treatment responses and suggest enhancements to sequential decision-making of an adaptive intervention.
“This is a regression approach recommended for SMART data to identify tailoring variables that modify treatment responses and suggest enhancements to the sequential decision-making of an adaptive intervention [197].”
From A Sequential Multiple Assignment Randomized Trial (SMART) study of medication and CBT sequencing in the treatment of pediatric anxiety disorders (2021) · cites this paper as [197]
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Cites
Robins, J. (1986) · Mathematical Modelling · doi:10.1016/0270-0255(86)90088-6 · Cited by 2,451 · see citing works
Pliszka, S. (2007) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1097/chi.0b013e318054e724 · Cited by 1,765 · see citing works
Evidence-based psychosocial treatments for attention-deficit/hyperactivity disorder
Pelham, W. E., & Fabiano, G. A. (2008) · Journal of Clinical Child & Adolescent Psychology · doi:10.1080/15374410701818681 · Cited by 917 · see citing works
Self-citationAdaptive Designs for Randomized Trials in Public Health
Brown, C. H., Ten Have, T. R., Jo, B., Dagne, G., Wyman, P. A., Muthén, B., & Gibbons, R. D. (2009) · Annual Review of Public Health · doi:10.1146/annurev.publhealth.031308.100223 · Cited by 184 · see citing works
Flagged first, then by citations
Research works printed but not linked: 30
- Baron RM Kenny DA The moderator–mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations Journal of Personality and Social Psychology 1986 51 1173 1182 3806354
- Bellman RE Dreyfus SE Applied dynamic programming 1962 Princeton University Press Princeton, NJ
- Bierman KL Nix RL Maples JJ Murphy SA Examining clinical judgment in an adaptive intervention design: The Fast Track Program Journal of Consulting and Clinical Psychology 2006 74 468 481 16822104 PMC2753970
- Biernot P Moodie EM A comparison of variable selection approaches for dynamic treatment regimes The International Journal of Biostatistics 2010 6 1 Article 6 21969968
- Chakraborty B Murphy SA Strecher V Inference for non-regular parameters in optimal dynamic treatment regimes Statistical Methods in Medical Research 2010 19 3 317 343 19608604 PMC2891316
- Chesney A Locke E An examination of the relationship among goal difficulty, business strategies, and performance on a complex management simulation task Academy of Management Journal 1991 34 400 424
- Collins LM Murphy SA Strecher V The multiphase optimization strategy (MOST) and the sequential multiple assignment randomized trial (SMART) new methods for more potent ehealth interventions American Journal of Preventive Medicine 2007 32 5 S112 S118 17466815 PMC2062525
- Connell AM Dishion TJ Yasui M Kavanagh K An adaptive approach to family intervention: Linking engagement in family-centered intervention to reductions in adolescent problem behavior Journal of Consulting and Clinical Psychology 2007 75 4 568 579 17663611
- Donovan JJ Radosevich DJ The moderating role of goal commitment on the goal difficulty – performance relationship: A metaanalytic review and critical reanalysis Journal of Applied Psychology 1998 83 308 315
- Fabiano GA Pelham WE Waschbusch DA Gnagy EM Lahey BB Chronis AM Burrows-MacLean L A practical measure of impairment: Psychometric properties of the impairment rating scale in samples of children with attention deficit hyperactivity disorder and two school-based samples Journal of Clinical Child and Adolescent Psychology 2006 35 369 385 16836475
- Fried Y Slowik LH Enriching goal-setting theory with time: An integrated approach Academy of Management Review 2004 29 404 422
- Gunter L Zhu J Murphy SA Variable selection for qualitative interactions Statistical Methodology 2011 8 42 55 21179592 PMC3003934
- Little RJA Rubin DB Statistical Analysis with Missing Data 1987 Wiley New York, NY
- MacKinnon DP Warsi G Dwyer JH A simulation study of mediated effect measures Multivariate Behavioral Research 1995 30 41 62 20157641 PMC2821114
- Marlowe DB Festinger DS Arabia PL Dugosh KL Benasutti KM Croft JR McKay JR Adaptive interventions in drug court: A pilot experiment Criminal Justice Review 2008 33 343 360 19724664 PMC2735275
- Murphy SA An experimental design for the development of adaptive treatment strategies Statistics in Medicine 2005 24 455 1481 15586395
- Nahum-Shani I Qian M Pelham WE Gnagy B Fabiano G Waxmonsky J Murphy SA Experimental design and primary data Analysis methods for comparing adaptive interventions 2011 Manuscript submitted for publication PMC3825557 23025433
- Pelham WE Evans SW Gnagy EM Greenslade KE Teacher ratings of DSM-III-R symptoms for the disruptive behavior disorders: Prevalence, factor analyses, and conditional probabilities in a special education sample School Psychology Review 1992 21 285 299
- Pelham WE Fabiano GA Evidence-based psychosocial treatment for attentiondeficit/hyperactivity disorder Journal of Clinical Child and Adolescent Psychology 2008 37 184 214 18444058
- Pelham WE Gnagy EM Greiner AR Hoza B Hinshaw SP Swanson JM McBurnett K Behavioral vs. behavioral and pharmacological treatment in ADHD children attending a summer treatment program Journal of Abnormal Child Psychology 2000 28 507 525 11104314
- Pelham WE Hoza B Pillow DR Gnagy EM Kipp HL Greiner AR Fitzpatrick E Effects of methylphenidate and expectancy on children with ADHD: Behavior, academic performance, and attributions in a summer treatment program and regular classroom setting Journal of Consulting and Clinical Psychology 2002 70 320 335 11952190
- Qin J Zhang B Leung DHY Empirical likelihood in missing data problems Journal of the American Statistical Association 2009 104 488 1492 1503
- Rivera DE Pew MD Collins LM Using engineering control principles to inform the design of adaptive interventions: A conceptual introduction Drug and Alcohol Dependence 2007 88 S31 S40 17169503 PMC2062527
- Robins JM Lin DY Heagerty P Optimal structural nested models for optimal sequential decisions Proceedings of the Second Seattle Symposium on Biostatistics 2004 189 326 Springer New York
- Rubin DB Multiple imputation for nonresponse in surveys 1987 Wiley & Sons New York
- Schafer JL Olsen MK Multiple imputation for multivariate missing-data problems: A data analyst’s perspective Multivariate Behavioral Research 1998 33 545 571 26753828
- Schaughency E Ervin R Building capacity to implement and sustain effective practices to better serve children School Psychology Review 2006 35 2 155 166
- Sutton RS Barto AG Reinforcement Learning: An Introduction 1998 MIT Press Cambridge, Mass
- Velicer WF Prochaska JO Redding CA Tailored communications for smoking cessation: Past successes and future directions Drug and Alcohol Review 2006 25 47 55 16492577
- Watkins CJCH Learning from delayed rewards Doctoral Thesis 1989 University of Cambridge England
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A "SMART" Design for Building Individualized Treatment Sequences
Lei, H., Nahum-Shani, I., Lynch, K., Oslin, D., & Murphy, S. A. (2012) · Annual Review of Clinical Psychology · doi:10.1146/annurev-clinpsy-032511-143152 · Cited by 557 · see citing works
Self-citationAlmirall, D., Nahum-Shani, I., Sherwood, N. E., & Murphy, S. A. (2014) · Translational Behavioral Medicine · doi:10.1007/s13142-014-0265-0 · Cited by 453 · see citing works
Self-citationReinforcement learning for intelligent healthcare applications: A survey
Coronato, A., Naeem, M., De Pietro, G., & Paragliola, G. (2020) · Artificial Intelligence in Medicine · doi:10.1016/j.artmed.2020.101964 · Cited by 320 · see citing works
Experimental design and primary data analysis methods for comparing adaptive interventions.
Nahum-Shani, I., Qian, M., Almirall, D., Pelham, W. E., Gnagy, B., Fabiano, G. A., Waxmonsky, J. G., Yu, J., & Murphy, S. A. (2012) · Psychological Methods · doi:10.1037/a0029372 · Cited by 298 · see citing works
Self-citationAlmirall, D., Compton, S. N., Gunlicks‐Stoessel, M., Duan, N., & Murphy, S. A. (2012) · Statistics in Medicine · doi:10.1002/sim.4512 · Cited by 223 · see citing works
Self-citationBricker, J. B., Mull, K. E., Santiago-Torres, M., Miao, Z., Perski, O., & Di, C. (2022) · Journal of Medical Internet Research · doi:10.2196/39208 · Cited by 44 · see citing works
Smith, S. K., Somers, T. J., Kuhn, E., Laber, E., Sung, A. D., Syrjala, K. L., Feger, B., Kelleher, S. A., Majestic, C., Gebert, R., et al. (2021) · Contemporary Clinical Trials · doi:10.1016/j.cct.2021.106569 · Cited by 14 · see citing works
Peterson, B. S., West, A. E., Weisz, J. R., Mack, W. J., Kipke, M. D., Findling, R. L., Mittman, B. S., Bansal, R., Piantadosi, S., Takata, G., et al. (2021) · BMC Psychiatry · doi:10.1186/s12888-021-03314-y · Cited by 13 · see citing works
- Authors
- Nahum-Shani, I., Qian, M., Almirall, D., Pelham, W. E., Gnagy, B., Fabiano, G. A., Waxmonsky, J. G., Yu, J., & Murphy, S. A.
- Venue
- Psychological Methods
- Published
- 2012
- Volume
- 17
- Issue
- 4
- Pages
- 478-494
- ISSN
- 1939-1463
- 1082-989X
- PMC
- PMC3747013
- Cited by
- 141
- References
- 4
- Language
- en
- Funders
- National Institute on Drug Abuse (P50DA010075, DA12414)
- National Institute on Alcohol Abuse and Alcoholism (AA11873)
- National Institute of Mental Health (MH069614, MH080015)
- Institute of Education Sciences (R324B060045, LO3000665A)
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