Cited by 608Advanced Causal Inference TechniquesStatistical Methods in Clinical TrialsSubstance Abuse Treatment and Outcomes

The DOI matches its Crossref record; 45 of the 46 references it cites were found in a registry or an index.

A Conceptual Framework for Adaptive Preventive Interventions

Open access

Collins, Linda M., Murphy, Susan A., Bierman, Karen L.·2004·Prevention Science

DOI 10.1023/b:prev.0000037641.26017.00PMC PMC3544191

Open this paper in CoChat — free account

Abstract

Recently, adaptive interventions have emerged as a new perspective on prevention and treatment. Adaptive interventions resemble clinical practice in that different dosages of certain prevention or treatment components are assigned to different individuals, and/or within individuals across time, with dosage varying in response to the intervention needs of individuals. To determine intervention need and thus assign dosage, adaptive interventions use prespecified decision rules based on each participant's values on key characteristics, called tailoring variables. 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.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

Integrity signals

Registry

Crossref · 10.1023/b:prev.0000037641.26017.00

Cites

45 of 45 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Test Theory: A Unified Treatment
Zwick, R., & McDonald, R. P. (2000) · Journal of the American Statistical Association · doi:10.2307/2669496 · Cited by 3,641
Neuro-dynamic Programming
(2012) · Springer eBooks · doi:10.1007/978-1-4419-1428-6_5086 · Cited by 3,601
Untitled work
(1998) · Cited by 2,713
Untitled work
(1999) · Cited by 2,653
A New Approach To Causal Inference in Mortality Studies With a Sustained Exposure Period - Application To Control of the Healthy Worker Survivor Effect
Robins, J. (1986) · Mathematical Modelling · doi:10.1016/0270-0255(86)90088-6 · Cited by 2,451
“Clinical versus Actuarial Judgment.”
Dawes, R. M., Faust, D., & Meehl, P. E. (1989) · Science · doi:10.1126/science.2648573 · Cited by 2,298
Neuro-Dynamic Programming
Bertsekas, D. P. (2001) · Springer eBooks · doi:10.1007/0-306-48332-7_333 · Cited by 1,519
Evaluating Influence Diagrams
Shachter, R. D. (1986) · Operations Research · doi:10.1287/opre.34.6.871 · Cited by 1,258
Optimal Dynamic Treatment Regimes
Murphy, S. A. (2003) · Journal of the Royal Statistical Society Series B (Statistical Methodology) · doi:10.1111/1467-9868.00389 · Cited by 990
Self-citation
THE ESTIMATION OF CAUSAL EFFECTS FROM OBSERVATIONAL DATA
Winship, C., & Morgan, S. L. (1999) · Annual Review of Sociology · doi:10.1146/annurev.soc.25.1.659 · Cited by 890

Show all 46 references

Research works printed but not linked: 2

Robins, J. M. (1989). The analysis of randomized and nonrandomized AIDS treatment trials using a new approach to causal inference in longitudinal studies. In L. Sechrest, H. Freeman, & A. Mulley (Eds.), Health service research methodology: A focus on AIDS (pp. 113–159). NCHSR, U.S. Public Health Service, Washington, DC.
Robins, J. M. (1993). Information recovery and bias adjustment in proportional hazards regression analysis of randomized trials using surrogate markers. Proceedings of the Biopharmaceutical Section, American Statistical Association, 24–33.

Sorted by citations

Items 501–600 of 608

Youth Violence Prevention: Public Health Intervention and High Risk Populations
Nieri, T. A., Matjasko, J. L., Williams, K. R., & Guerra, N. G. (2012) · Springer eBooks · doi:10.1007/978-90-481-8921-2_12 · Cited by 2
Die Präventionswissenschaften der frühkindlichen Entwicklung und die herausfordernden Möglichkeiten für die Psychoanalyse
Emde, R. N. (2013) · Vandenhoeck & Ruprecht eBooks · doi:10.13109/9783666451300.172 · Cited by 2
A Pilot Study of Stress System Activation in Children Enrolled in a Targeted Prevention Program: Implications for Personalization
Klimes‐Dougan, B., Klingbeil, D. A., Houri, A. K., Cullen, K. R., Gunlicks‐Stoessel, M., & August, G. J. (2018) · International Journal of Molecular Sciences · doi:10.3390/ijms19020361 · Cited by 2
SMARTAR: an R package for designing and analyzing Sequential Multiple Assignment Randomized Trials
Zhong, X., Cheng, B., Wang, X., & Cheung, Y. K. (2021) · PeerJ · doi:10.7717/peerj.10559 · Cited by 2
Promoting Family Centered Support Assessment and Intervention
Garbacz, S. A., Moore, K. J., Mauricio, A. M., & Stormshak, E. A. (2021) · Journal of Educational and Psychological Consultation · doi:10.1080/10474412.2021.1963266 · Cited by 2
Use of Behavior Function and Teacher Practices to Intensify Tier II Intervention: A Comparison of Check-In, Check-Out Adaptations
Chauvin, C. B., Wehby, J. H., & Kern, L. (2023) · Journal of Positive Behavior Interventions · doi:10.1177/10983007231172195 · Cited by 2
Relations of behavioral inhibition and activation system sensitivities with vaccination outcomes: Investigating the mediating role of vaccine hesitancy in older adults
Howard, M. C. (2023) · Journal of Health Psychology · doi:10.1177/13591053231197645 · Cited by 2
Mobile Phone-Based Smoking-Cessation Intervention in Patients With Chronic Diseases in China: A Sequential Multiple Assignment Randomized Trial
Weng, X., Song, C., Liu, K., Zhao, S. Z., Yang, H., & Wang, M. P. (2024) · Nicotine & Tobacco Research · doi:10.1093/ntr/ntae230 · Cited by 2
Hybrid Model Predictive Control Applied to Production-Inventory Systems*
Nandola, N. N., & Rivera, D. E. (2011) · IFAC Proceedings Volumes · doi:10.3182/20110828-6-it-1002.02627 · Cited by 2
A Quasi-Experimental Test of the Elementary School Success Profile Model of Assessment and Prevention
Bowen, N. K., Thompson, A. M., & Powers, J. D. (2012) · Journal of the Society for Social Work and Research · doi:10.5243/jsswr.2012.12 · Cited by 2
Patterns of Drinking Behaviors and Predictors of Class Membership among Adolescents in the Republic of Korea: A Latent Class Analysis
Lee, H., & Park, S. (2019) · Journal of Korean Academy of Nursing · doi:10.4040/jkan.2019.49.6.701 · Cited by 2
Time-Varying Effect Models for Examining Age-Dynamic Associations in Gerontological Research
Costello, D. M., & Murphy, T. E. (2022) · Experimental Aging Research · doi:10.1080/0361073x.2022.2095606 · Cited by 2
Sample size estimation for comparing dynamic treatment regimens in a SMART: A Monte Carlo-based approach and case study with longitudinal overdispersed count outcomes
Yap, J. R. T., Dziak, J. J., Maiti, R., Lynch, K. G., McKay, J. R., Chakraborty, B., & Nahum-Shani, I. B. (2023) · Statistical Methods in Medical Research · doi:10.1177/09622802231167435 · Cited by 2
Prevention Strategies: Prevention and Promotion in Child Mental Health
Blaisdell, K. N., Horn, S. R. G.-V., & Fisher, P. A. (2023) · Autism and child psychopathology series · doi:10.1007/978-3-031-24926-6_26 · Cited by 2
Institutionalising science‐based practices in children's services
Hill, L. G., Parker, L. A., McGuire, J. K., & Sage, R. A. (2008) · Journal of Children s Services · doi:10.1108/17466660200800025 · Cited by 2
Risks, Vulnerabilities, and Desires for Future Romantic Relationships and Relationship Education During Early Adulthood
Kanter, J. B., Conner, S., Vennum, A., Deitz, S. L., & Taylor, L. E. (2020) · Family Relations · doi:10.1111/fare.12489 · Cited by 2
Parent experiences of a family-centered intervention: Examining ethnocultural group differences
Bustos, C. E. (2011) · Scholars' Bank (University of Oregon) · Cited by 2
Symptom management interventions influence unscheduled health services use among cancer survivors and caregivers
Badger, T., Segrin, C., Crane, T. E., Chalasani, P., Arslan, W., Hadeed, M., Cunicelli, N., Given, C. W., & Sikorskii, A. (2026) · Journal of Cancer Survivorship · doi:10.1007/s11764-024-01723-y · Cited by 1
An integrative review of family supports as components of early childhood home visiting models
Clark, C., Shaw, K. R., Snyder, P., Conroy, M. A., & Mawdsley, H. P. (2025) · Family Relations · doi:10.1111/fare.70001 · Cited by 1
Measuring stability and change in response patterns to a set of hierarchical scales in a randomized intervention study: an innovative application of latent transition analysis
Myers, N. D., Prilleltensky, I., & Lee, S. (2025) · Journal of Behavioral Medicine · doi:10.1007/s10865-025-00586-7 · Cited by 1
Using Implementation Science to Bridge the Gap Between Research and Practice in Positive Behavior Support and Positive Behavioral Interventions and Supports
Chaparro, E. A., & McIntosh, K. (2025) · Issues in clinical child psychology · doi:10.1007/978-3-031-96102-1_4 · Cited by 1
Digital Tools to Support Physical Activity in People With Spinal Cord Injury: Current Evidence, Practical Considerations, and Implications
Wilroy, J., Mintz, M., & Kim, Y. (2025) · Kinesiology Review · doi:10.1123/kr.2025-0046 · Cited by 2
Testing the Efficacy of an Adaptive Approach to Delivering Psychosocial Interventions in Office-based Buprenorphine Treatment
Dugosh, K. L., Burkley, S. B., McKay, J. R., Kampman, K. M., Lynch, K. G., & Lent, M. R. (2026) · Journal of Addiction Medicine · doi:10.1097/adm.0000000000001643 · Cited by 1
Enhancing High‐Resolution Assessment in Pain Disorders: Development of an Adaptive Real‐Time Version of the Pain Catastrophizing Scale
Roth, M., Plessen, C. Y., Liegl, G., Fischer, F., Koeppen, L., Vajkoczy, P., Praßer, F., Nolte, S., Rose, M., & Obbarius, A. (2026) · European Journal of Pain · doi:10.1002/ejp.70266 · Cited by 1
Getting the MOST out of Single-Case Experimental Intervention Development: An Application of the Multiphase Optimization STrategy
Hampton, L. H., Chow, J. C., Lane, J. D., & Ledford, J. R. (2026) · Journal of Behavioral Education · doi:10.1007/s10864-026-09634-x · Cited by 1
Gestational Diabetes Mellitus: Early Risk Factors, Prevention, Optimal Treatment, and Long-term Consequences for Mothers and Offspring: Reflections on 25 Years of Research: The 2025 Norbert Freinkel Award Lecture
Hedderson, M. M. (2026) · Diabetes Care · doi:10.2337/dci25-0050 · Cited by 1
Cancer Screening Adherence
Gierisch, J. M., & Bastian, L. A. (2010) · Springer eBooks · doi:10.1007/978-1-4419-5866-2_6 · Cited by 1
The Data: Observational Studies and Sequentially Randomized Trials
Chakraborty, B., & Moodie, E. E. M. (2013) · Statistics in the health sciences · doi:10.1007/978-1-4614-7428-9_2 · Cited by 1
Psychological Well-Being as a New Educational Boundary: Findings from Padua, Italy
Cavallo, A. (2015) · Springer eBooks · doi:10.1007/978-1-4939-2833-0_7 · Cited by 1
Examining engagement effects in an adaptive preventive intervention for college student drinking.
Patrick, M. E., Sur, A., Arterberry, B. J., Peterson, S. J., Morrell, N., & Vock, D. M. (2023) · Journal of Consulting and Clinical Psychology · doi:10.1037/ccp0000845 · Cited by 1
Weight loss maintenance following an augmented intervention for early slow weight loss responders: An adaptive trial
Miller, C. K., Nagaraja, H. N., Fujita, K., Cheavens, J. S., & Focht, B. C. (2023) · Translational Behavioral Medicine · doi:10.1093/tbm/ibad077 · Cited by 2
Guide to Conducting Adaptive Interventions to Increase Intervention Effectiveness
Maura, A., & Susianto, H. (2023) · Psikoborneo Jurnal Ilmiah Psikologi · doi:10.30872/psikoborneo.v11i4.12758 · Cited by 3
Promoting Family-Focused Evidenced-Based Practice in Frontline HIV/AIDS Care
Rapkin, B. A., & Mellins, C. A. (2011) · Springer eBooks · doi:10.1007/978-1-4614-0439-2_15 · Cited by 1
Children and Adolescents With Suicidal Thoughts and Behaviors
Foster, C. E., Yegüez, C. E., & King, C. A. (2018) · Oxford University Press eBooks · doi:10.1093/oxfordhb/9780190634841.013.35 · Cited by 1
An Approach for Dynamic Optimization of Prevention Program Implementation in Stochastic Environments
Kang, Y., & Prabhu, V. V. (2011) · Lecture notes in computer science · doi:10.1007/978-3-642-19656-0_37 · Cited by 1
Program Planning, Development, and Evaluation
Castro, F. G., Balcázar, H., & Cota, M. K. (2008) · Cited by 1
Observations of parent monitoring and family problem solving in adolescence: Convergent and predictive validity for European American and African American youth
Morris, G. P. (2011) · Scholars' Bank (University of Oregon) · Cited by 1
Inside the black box : an exploration of change mechanisms in drug and alcohol rehabilitation projects
Leighton, D. T. H. (2017) · The University of Bath Online Publications Store (The University of Bath) · Cited by 1
Multicategory Angle-based Learning for Estimating Optimal Dynamic Treatment Regimes with Censored DataPreprint
Xue, F., Zhang, Y., Zhou, W., Fu, H., & Qu, A. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2001.04629 · Cited by 1
Multiphase Optimization Strategy (MOST)
Goldstein, C. M., & Kugler, K. C. (2020) · Springer eBooks · doi:10.1007/978-3-030-39903-0_101966 · Cited by 1
A study of non-regularity in dynamic treatment regimes and some design considerations for multicomponent interventions
Chakraborty, B. (2009) · Deep Blue (University of Michigan) · Cited by 1
SURVIVAL ANALYSIS OF SHARED-PATH ADAPTIVE TREATMENT STRATEGIES
Kidwell, K. (2012) · D-Scholarship@Pitt (University of Pittsburgh)
Factors and dynamics influencing the implementation of community interventions: a systems perspective
Radford, L. (2007) · Victoria University Research Repository (Victoria University)
The use of video to facilitate parent empowerment in early intervention
Eby, J. L. (2009) · Holmes Museum Of Anthropology (Wichita State University)
Investigating the development, delivery and outcomes of internet based help for family members affected by addiction problems
Ibanga, A. (2011) · University of Birmingham Institutional Research Archive (University of Birmingham)
Adaptive Pair-Matching in the SEARCH Trial and Estimation of the Intervention Effect
Balzer, L. B., Petersen, M. L., & van der Laan, M. J. (2014) · Collection of Biostatistics Research Archive
Geffen Faculty Highlight Concerns Linking CAIM and Conventional Researchers at UCLA Symposium
Logue, E. H. (2008) · Evidence-based Complementary and Alternative Medicine · doi:10.1093/ecam/nen051
Lesbian and Gay Parenting: A Parental Needs Assessment and a Mixed-Methods Analysis of Discrimination Parenting and Coping Strategies
Kellison, J. G. (2014)
Design and Analysis of Cluster Randomized Trials with Application to HIV Prevention and Treatment
Balzer, L. B. (2015) · eScholarship (California Digital Library)
Implementation von kriminalpräventiven Programmen: Stand der Forschung und Desiderate
Brand, T., & Jungmann, T. (2008) · Social Science Open Access Repository (GESIS – Leibniz Institute for the Social Sciences)
Healthy After-School Child Care
MacFarlane, K. (2015) · UVic’s Research and Learning Repository (University of Victoria)
Translating Models of Adolescent Problem Behavior into Effective Intervention
Dishion, T. J., & Yasui, M. (2015) · doi:10.1002/9781119095699.ch17
A Novel Control Engineering Approach to Designing and Optimizing Adaptive Sequential Behavioral Interventions
Dong, Y. (2014)
Coercion or Caring: The Fundamental Paradox for Adherence Interventions for HIV+ People with Mental Illness
Eisenberg, M. M., Hennessy, M. H., Coviello, D., Hanrahan, N. P., & Blank, M. B. (2016) · AIDS and Behavior · doi:10.1007/s10461-016-1517-4
Toward a Rational Model of Depression Treatment
Forand, N. R., Richards, D. A., Huibers, M. J. H., & Bockting, C. (2016) · Oxford University Press eBooks · doi:10.1093/oxfordhb/9780199973965.013.41
Robust Optimal Decision Policies for Adaptive, Time-Varying Interventions Using Model Predictive Control
Nandola, N. N., & Rivera, D. E. (2010)
Culturally Relevant Programming in Action: A Case Study of a MarriageEducation Program for African American Couples
Erwin, P. L. (2014)
Engineering control approaches for the design and analysis of adaptive behavioral interventions
Rivera, D. E., & Collins, L. M. (2008) · 2008 AIChE Annual Meeting, AIChE 100
Self-citation
Treatment repeaters : re-entry in care for clients with substance use disorder within the Swedish addiction treatment system
Grahn, R. (2017) · KTH Publication Database DiVA (KTH Royal Institute of Technology)
A Structural Equation Modeling Approach Combining Multitrait-Multimethod Designs with Moderated Mediation Analysis
Litson, K. (2019) · Digital Commons - USU (Utah State University) · doi:10.26076/90sz-pj37
Individualized therapy for Cystic Fibrosis using artificial intelligence
Tang, Y. (2019) · Carolina Digital Repository (University of North Carolina at Chapel Hill) · doi:10.17615/sb8k-th95
Psychosocial profiles: serious and chronic female juvenile offenders with and without a substance use disorder
Welch, C. L. (2019) · Carolina Digital Repository (University of North Carolina at Chapel Hill) · doi:10.17615/h75f-g161
Geography & Environmental Studies
Kehoe, J., & Perkovic, O. (2018)
Promoting Innovative Systemic Research through Improved Graduate Training
Durtschi, J. A., Bartle‐Haring, S., & Vennum, A. (2020) · Wiley eBooks · doi:10.1002/9781119790181.ch28
Systematic Instruction of Early Math Skills
Hardy, J. K. (2014)
Peer Review #2 of "SMARTAR: an R package for designing and analyzing Sequential Multiple Assignment Randomized Trials (v0.1)"
(2021) · PeerJ · doi:10.7287/peerj.10559v0.1/reviews/2
Peer Review #2 of "SMARTAR: an R package for designing and analyzing Sequential Multiple Assignment Randomized Trials (v0.2)"
(2021) · PeerJ · doi:10.7287/peerj.10559v0.2/reviews/2
Peer Review #1 of "SMARTAR: an R package for designing and analyzing Sequential Multiple Assignment Randomized Trials (v0.2)"
(2021) · PeerJ · doi:10.7287/peerj.10559v0.2/reviews/1
Peer Review #3 of "SMARTAR: an R package for designing and analyzing Sequential Multiple Assignment Randomized Trials (v0.1)"
(2021) · PeerJ · doi:10.7287/peerj.10559v0.1/reviews/3
Peer Review #1 of "SMARTAR: an R package for designing and analyzing Sequential Multiple Assignment Randomized Trials (v0.1)"
(2021) · PeerJ · doi:10.7287/peerj.10559v0.1/reviews/1
Peer Review #2 of "SMARTAR: an R package for designing and analyzing Sequential Multiple Assignment Randomized Trials (v0.3)"
(2021) · PeerJ · doi:10.7287/peerj.10559v0.3/reviews/2
Promoting School Readiness in At-risk Children: An Evaluation of a Behavioral Parent Training Program in an Early Childhood Community Setting
Cheatham-Johnson, R. J. (2020) · FIU - Digital Commons (Florida International University) · doi:10.25148/etd.fidc009176
General Analytic Considerations
Wright, A. G. C., & Hallquist, M. N. (2020) · Cambridge University Press eBooks · doi:10.1017/9781316995808.034
Promoting Innovative Systemic Research through Improved Graduate Training
Durtschi, J. A., Bartle‐Haring, S., & Vennum, A. (2020) · Wiley eBooks · doi:10.1002/9781119438519.ch28
Personalization in digital interventions for behavior change (Preprint)Preprint
Tong, H. L., Quiroz, J. C., Kocaballi, A. B., Kennedy, G., Coiera, E. W., & Laranjo, L. (2020) · doi:10.2196/preprints.20562
The Logic and Practice of the Prevention of Mental Disorders
Mendelson, T., Pas, E. T., Lee-Winn, A. E., Bradshaw, C. P., Rebok, G. W., Leis, J. A., & Mandell, W. (2019) · Public Mental Health · doi:10.1093/oso/9780190916602.003.0019
Secondary Analysis to Inform the Development of Adaptive Preventive Interventions
Brincks, A. M., Perrino, T., & Howe, G. W. (2022) · Clinical Child and Family Psychology Review · doi:10.1007/s10567-022-00408-1
Monitoring Educational Progress
Rispoli, M. J., & David, M. (2022) · Autism and child psychopathology series · doi:10.1007/978-3-030-88538-0_17
Translation and Prevention in Family Science
Kogan, S. M., & Barton, A. W. (2022) · Springer eBooks · doi:10.1007/978-3-030-92002-9_52
Pharmacotherapy for the Treatment of Tobacco Dependence
Fisher, T., & Leone, F. T. (2023) · Respiratory medicine · doi:10.1007/978-3-031-24914-3_4
Precision Approach to Matching Evidence-Based Interventions to Individual Needs of Students with Externalizing Behaviors: A Double-Masked Randomized Controlled TrialPreprint
Zhang, Y., Cook, C. R., & Diggs, C. (2023) · doi:10.31234/osf.io/mx7p5
On “Reflections on the concept of optimality of single decision point treatment regimes”
Moodie, E. E. M., & Talbot, D. C. (2023) · Biometrical Journal · doi:10.1002/bimj.202300027
Vergelijking tussen individueelgerichte en gezinsgerichte behandelingen voor internaliserende, externaliserende en gezinssymptomen bij Latino-jongeren
Santisteban, D. A., Mena, M. P., McCabe, B. E., Abalo, C., & Puccinelli, M. J. (2023) · Gezinstherapie Wereldwijd · doi:10.1007/s12440-023-00210-7
Q-Learning Based Methods for Dynamic Treatment Regimes
Li, X., Freeman, N. L. B., & Wang, L. (2024) · ICSA book series in statistics · doi:10.1007/978-3-031-50690-1_5
Using Multivariate Random Forests for Predicting Learning Trajectories From Digital Training DataPreprint
Frick, S., Schmid, L., Kuhn, J., & Doebler, P. (2024) · doi:10.31234/osf.io/x9vbh
Stage-based analysis of an adaptive worksite intervention trial for diabetes prevention
Miller, C. K., King, D., Fujita, K., & Cheavens, J. S. (2025) · Patient Education and Counseling · doi:10.1016/j.pec.2025.108671
Empowering safety managers to champion the implementation of smoking cessation services in the construction industry: Protocol for a sequential multiple assignment randomized trial
Asfar, T., Lee, D. J., Salloum, R. G., LeLaurin, J. H., Kobetz, E. N., Pradhananga, N., Despaux, R. A. D. D., McCollister, K. E., Oluwole, O. J., Corbin, L., et al. (2025) · PLoS ONE · doi:10.1371/journal.pone.0324717
A Comparison of Methods for Testing and Implementing Community Health Interventions in Childhood: A Realist Review
Anis, L., Benzies, K., Ewashen, C., Hart, M. J., & Letourneau, N. L. (2025) · Children · doi:10.3390/children12121605
Within-Intervention Change: Anger Regulation and Hostile Intent Attribution as Mechanisms to Reduce Children’s Aggressive Behavior
Alsem, S. C., Verhulp, E. E., van Dijk, A., & de Castro, B. O. (2025) · Cognitive Therapy and Research · doi:10.1007/s10608-025-10685-z
Additional file 2 of Implementation models and frameworks used to guide community-based physical activity programs for children: a scoping review
Ostermeier, E., Burke, S. M., Gilliland, J., & Tucker, P. (2023) · Figshare · doi:10.6084/m9.figshare.24022617
Additional file 1 of Implementation models and frameworks used to guide community-based physical activity programs for children: a scoping review
Ostermeier, E., Burke, S. M., Gilliland, J., & Tucker, P. (2023) · Figshare · doi:10.6084/m9.figshare.24022614
Additional file 3 of Implementation models and frameworks used to guide community-based physical activity programs for children: a scoping review
Ostermeier, E., Burke, S. M., Gilliland, J., & Tucker, P. (2023) · Figshare · doi:10.6084/m9.figshare.24022620
Additional file 1 of Use of research electronic data capture (REDCap) in a sequential multiple assignment randomized trial (SMART): a practical example of automating double randomization
Lee, C. A., Gamino, D., Lore, M. H., Donelson, C., & Windsor, L. C. (2024) · Figshare · doi:10.6084/m9.figshare.26602690
Analysis of University Students’ Awareness towards Renewable Energy: The Case of Atatürk University
Demir, O., & GULTEKIN, G. C. (2025) · Journal of Agricultural Production · doi:10.56430/japro.1773048
Systematic evaluation of commercially available pain‐management mHealth apps for chronic pain in the United Kingdom
Harding, R. P., Gillett, J. L., Passaportis, M. J. R., Miles, E., & Matcham, F. (2026) · British Journal of Health Psychology · doi:10.1111/bjhp.70053
The Multiphase Optimization Strategy (MOST)
Rulison, K. L. (2026) · Wiley eBooks · doi:10.1002/9781119880851.ch13
Adaptive intervention to improve self-management behaviours among hypertensive patients in rural primary care settings: protocol for a Sequential Multiple Assignment Randomised Trial (SMART)
Xian, X., Zhao, T., Du, S., Zhang, H., Chen, Y., Zhou, H., & Wu, Y. (2026) · BMJ Open · doi:10.1136/bmjopen-2025-109445
Game, Set, and Match: A Scoping Review of Matching Characteristics for Control and Intervention Groups in Adaptive Behavioral Interventions for Physical Activity or Healthy Eating Designs for Populations with Overweight and Obesity
Whitney, J., Suhy, V. A., Pauley, A. M., Shao, D., Khan, O., Moore, A. M., Chow, S., Rivera, D. E., & Downs, D. S. (2026) · Behavioral Medicine · doi:10.1080/08964289.2026.2641440
Latent classes of substance use precursors predict positive alcohol and cannabis expectancies one year later in Black and Latino early adolescents in the ABCD study
Chung, T., Kennelly, N., Latendresse, S. J., Powell, M. Z., & Sartor, C. E. (2026) · Addictive Behaviours · doi:10.1016/j.addbeh.2026.108702
A Sequential Multiple Assignment Randomized Trial Design with Response-Adaptive Tailoring FunctionPreprint
Chen, Z., & Hartman, H. (2026) · medRxiv · doi:10.64898/2026.04.28.26351992

Authors: Collins, L. M., Murphy, S. A., & Bierman, K. L.
Affiliations: Pennsylvania State University (US)
University of Michigan (US)
Corresponding author: Collins, Linda M.
ORCID: Collins, Linda M.
Murphy, Susan A.
Bierman, Karen L.
Venue: Prevention Science
Publisher: Springer Science and Business Media LLC
Published: 2004-09
Volume: 5
Issue: 3
Pages: 185-196
ISSN: 1389-4986 (ISSN-L)
1573-6695
DOI: 10.1023/b:prev.0000037641.26017.00
PMC: PMC3544191
OpenAlex: W2021206292
Semantic Scholar: 2dfd8040ec25b7b63e4bcff6e2c5671c91529c2e
Cited by: 608
References: 46
Citations by year: 2026: 19 · 2025: 18 · 2024: 19 · 2023: 34 · 2022: 27 · 2021: 27 · 2020: 23 · 2019: 33 · 2018: 30 · 2017: 33 · 2016: 38 · 2015: 30 · 2014: 42 · 2013: 37 · 2012: 34
FWCI: 19.93
Type: journal article
Language: en
Open access: green
www.ncbi.nlm.nih.gov
Licence: www.springernature.com/gp/researchers/text-and-data-mining (tdm)
www.springernature.com/gp/researchers/text-and-data-mining (vor)
Locations: Prevention Science (publishedVersion)
PubMed (publishedVersion)
PubMed Central (acceptedVersion)
Deep Blue (University of Michigan) (submittedVersion)
Funders: National Institute of Mental Health (R01MH050953)
National Institute on Drug Abuse (K02DA015674, P50-DA-10075, P50DA010075, K02-DA15674)
Topics: Physical Sciences › Mathematics › Statistics and Probability › Advanced Causal Inference Techniques
Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Clinical Trials
Health Sciences › Medicine › Epidemiology › Substance Abuse Treatment and Outcomes
Keywords: adaptive interventions, preventive interventions, decision rules, intervention dosage, personalized prevention, intervention design, intervention evaluation, conceptual framework
MeSH terms: Child, Child Behavior Disorders, Clinical Competence, Decision Support Techniques, Forecasting, Home Care Services, Humans, Judgment, Parent-Child Relations, Parents, Patient Care Planning, Patient Participation, Primary Prevention, Research Design, Risk Factors, Time Factors, Reproducibility of Results, Confounding Factors, Epidemiologic, Outcome Assessment, Health Care, Risk Assessment, Conduct Disorder, Needs Assessment

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

A Conceptual Framework for Adaptive Preventive Interventions

Abstract

Overview

Integrity signals

Verification

Claims the paper makes

Claims other papers make about this one

Self-check

Citations

Cites

Cited by

Related

Metadata

Record

About these checks