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Experimental Design and Primary Data Analysis Methods for Comparing Adaptive Interventions

Nahum-Shani, Inbal ; Qian, Min ; Almirall, Daniel ; Pelham, William E. ; Gnagy, Beth ; Fabiano, Gregory A. ; Waxmonsky, James G. ; Yu, Jihnhee ; Murphy, Susan A. Appelbaum, Mark I ; Maxwell, Scott E

Psychological methods, 2012-12, Vol.17 (4), p.457-477 [Periódico revisado por pares]

Washington, DC: American Psychological Association

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Título:
Experimental Design and Primary Data Analysis Methods for Comparing Adaptive Interventions
Autor: Nahum-Shani, Inbal ; Qian, Min ; Almirall, Daniel ; Pelham, William E. ; Gnagy, Beth ; Fabiano, Gregory A. ; Waxmonsky, James G. ; Yu, Jihnhee ; Murphy, Susan A.
Appelbaum, Mark I ; Maxwell, Scott E
Assuntos: Analysis ; Attention Deficit Hyperactivity Disorder ; Behavior Modification ; Behavioral Science Research ; Behavioral Sciences - methods ; Biological and medical sciences ; Children ; Clinical Trials ; Comparative Analysis ; Data Analysis ; Data Interpretation, Statistical ; Drug Therapy ; Experimental Design ; Female ; Fundamental and applied biological sciences. Psychology ; Human ; Humans ; Intervention ; Male ; Methodology. Experimentation ; Program Development ; Psychology. Psychoanalysis. Psychiatry ; Psychology. Psychophysiology ; Psychometrics. Statistics. Methodology ; Randomized Controlled Trials as Topic - methods ; Research Design ; Research Methodology ; Social Sciences ; Social Sciences - methods ; Statistics. Mathematics ; Treatment Effectiveness Evaluation
É parte de: Psychological methods, 2012-12, Vol.17 (4), p.457-477
Notas: ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
Descrição: In recent years, research in the area of intervention development has been shifting from the traditional fixed-intervention approach to adaptive interventions, which allow greater individualization and adaptation of intervention options (i.e., intervention type and/or dosage) over time. Adaptive interventions are operationalized via a sequence of decision rules that specify how intervention options should be adapted to an individual's characteristics and changing needs, with the general aim to optimize the long-term effectiveness of the intervention. Here, we review adaptive interventions, discussing the potential contribution of this concept to research in the behavioral and social sciences. We then propose the sequential multiple assignment randomized trial (SMART), an experimental design useful for addressing research questions that inform the construction of high-quality adaptive interventions. To clarify the SMART approach and its advantages, we compare SMART with other experimental approaches. We also provide methods for analyzing data from SMART to address primary research questions that inform the construction of a high-quality adaptive intervention.
Editor: Washington, DC: American Psychological Association
Idioma: Inglês

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Experimental Design and Primary Data Analysis Methods for Comparing Adaptive Interventions

Nahum-Shani, Inbal ; Qian, Min ; Almirall, Daniel ; Pelham, William E. ; Gnagy, Beth ; Fabiano, Gregory A. ; Waxmonsky, James G. ; Yu, Jihnhee ; Murphy, Susan A. Appelbaum, Mark I ; Maxwell, Scott E

Washington, DC: American Psychological Association

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