| scholarly article | Q13442814 |
| P50 | author | Daniel E. Rivera | Q43143622 |
| Linda Collins | Q55203981 | ||
| P2093 | author name string | Michael D Pew | |
| P2860 | cites work | Initial impact of the Fast Track prevention trial for conduct problems: I. The high-risk sample. Conduct Problems Prevention Research Group | Q24652748 |
| Initial impact of the Fast Track prevention trial for conduct problems: II. Classroom effects. Conduct Problems Prevention Research Group | Q24653575 | ||
| An expert system intervention for smoking cessation | Q33605179 | ||
| Using behavioral reinforcement to improve methadone treatment participation | Q33775019 | ||
| National Institute of Mental Health Clinical Antipsychotic Trials of Intervention Effectiveness (CATIE): Alzheimer disease trial methodology | Q34104531 | ||
| Sequenced treatment alternatives to relieve depression (STAR*D): rationale and design | Q34310720 | ||
| An experimental design for the development of adaptive treatment strategies | Q34374570 | ||
| A Risk-based Model Predictive Control Approach to Adaptive Interventions in Behavioral Health | Q35022681 | ||
| A conceptual framework for adaptive preventive interventions | Q35911597 | ||
| A controlled study of a standardized behavioral stepped treatment for hypertension | Q41253587 | ||
| The effect of the timing and spacing of observations in longitudinal studies of tobacco and other drug use: temporal design considerations | Q44152881 | ||
| Methodological challenges in constructing effective treatment sequences for chronic psychiatric disorders. | Q51107536 | ||
| Immune control of HIV-1 after early treatment of acute infection | Q56961920 | ||
| A strategy for optimizing and evaluating behavioral interventions | Q60450752 | ||
| P304 | page(s) | S31-40 | |
| P577 | publication date | 2006-12-13 | |
| P1433 | published in | Drug and Alcohol Dependence | Q5308875 |
| P1476 | title | Using engineering control principles to inform the design of adaptive interventions: a conceptual introduction | |
| P478 | volume | 88 Suppl 2 |
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