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A Conceptual Framework for Adaptive Preventive Interventions
Open accessAbstract
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.
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“The adaptive intervention that a SMART design produces can be incorporated into clinical practice more naturally and seamlessly than the findings of a fixed-intervention study [53, 54, 62].”
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 [62]
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In the citing paper
“Adaptive interventions resemble clinical practice, in that different interventions are assigned to different individuals and within individuals over time, with the intervention(s) ideally varying in response to patient needs and patient response [62].”
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 [62]
In the citing paper
“Adaptive treatment methodologies has been applied to interventions that adjust over the course of weeks or months, not hours or days, but these methodologies can be applied to mobile technology interventions [106].”
From Health behavior models in the age of mobile interventions: are our theories up to the task? (2011) · cites this paper as [106]
In the citing paper
“MOST has three phases.”
From An Overview of Research and Evaluation Designs for Dissemination and Implementation (2017) · cites this paper as [32]
In the citing paper
“Fractional designs can make examination of multiple components feasible, even when cluster randomization is necessary (30, 32, 37).”
From An Overview of Research and Evaluation Designs for Dissemination and Implementation (2017) · cites this paper as [32]
In the citing paper
“Testing all combinations in a single design is not feasible, but MOST can be used to identify and test an optimized intervention.”
From An Overview of Research and Evaluation Designs for Dissemination and Implementation (2017) · cites this paper as [32]
In the citing paper
“The Sequential Multiple Assignment Randomized Implementation Trial (SMART) implementation design is a special case of the factorial experiment (32, 67, 78) involving multistage randomizations where the site-level implementation process can be modified if unsuccessful.”
From An Overview of Research and Evaluation Designs for Dissemination and Implementation (2017) · cites this paper as [32]
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Cites
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
(2012) · Springer eBooks · doi:10.1007/978-1-4419-1428-6_5086 · Cited by 3,601
(1998) · Cited by 2,713
(1999) · Cited by 2,653
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
Bertsekas, D. P. (2001) · Springer eBooks · doi:10.1007/0-306-48332-7_333 · Cited by 1,519
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-citationTHE 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
Flagged first, then by citations
1 of the 46 references couldn’t be matched to a known paper.
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.
Cited by
Sorted by citations
Items 401–500 of 608
System Identification Modeling of a Smoking Cessation Intervention
Timms, K. P., Rivera, D. E., Collins, L. M., & Piper, M. E. (2012) · IFAC Proceedings Volumes · doi:10.3182/20120711-3-be-2027.00205 · Cited by 9
Self-citationLe, Y., Roddy, M. K., Rothman, K., Salivar, E. G., Guttman, S., & Doss, B. D. (2023) · Internet Interventions · doi:10.1016/j.invent.2023.100661 · Cited by 10
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Marlowe, D. B., Festinger, D. S., Dugosh, K. L., Benasutti, K. M., Fox, G., & Harron, A. (2013) · Journal of Experimental Criminology · doi:10.1007/s11292-013-9196-x · Cited by 10
Fairlie, A. M., Maggs, J. L., & Lanza, S. T. (2016) · Journal of Studies on Alcohol and Drugs · doi:10.15288/jsad.2016.77.38 · Cited by 9
Design and Implementation of Behavioral Informatics Interventions
Laranjo, L., Lau, A. Y. S., & Coiera, E. W. (2017) · Health informatics · doi:10.1007/978-3-319-51732-2_2 · Cited by 8
Introduction to Adaptive Interventions
Collins, L. M. (2018) · Statistics for social and behavioral sciences · doi:10.1007/978-3-319-72206-1_8 · Cited by 9
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Veeh, C. A., Plassmeyer, M., Nicotera, N., & Brewer, S. E. (2019) · Journal of the Society for Social Work and Research · doi:10.1086/701948 · Cited by 9
The End of Behavioral Genetics?
Matt, M. (2009) · Acta Psychologica Sinica · doi:10.3724/sp.j.1041.2008.01073 · Cited by 9
Rizo, C. F., Deinse, T. B. V., Durant, S., Lopez, Q. S., Mason, A., & Ryan, P. H. (2021) · Journal of Family Violence · doi:10.1007/s10896-021-00257-6 · Cited by 8
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Stone, K. J., Rancher, C. E., Davies, F., Schnake, K. L., & Moreland, A. D. (2023) · Psychology in the Schools · doi:10.1002/pits.23089 · Cited by 12
McLaughlin, T., Snyder, P., & Algina, J. J. (2015) · Exceptional Children · doi:10.1177/0014402914563696 · Cited by 8
Davison, D. E., Vanderwater, R., & Zhou, K. (2012) · Proceedings of the ... American Control Conference/Proceedings of the American Control Conference · doi:10.1109/acc.2012.6314825 · Cited by 8
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von Klinggraeff, L., Dugger, R., Brazendale, K., Hunt, E. T., Moore, J. B., Turner‐McGrievy, G. M., Vogler, K. E., Beets, M. W., Armstrong, B., & Weaver, R. G. (2022) · Evaluation and Program Planning · doi:10.1016/j.evalprogplan.2022.102070 · Cited by 8
Villalobos-Gallegos, L., Marín-Navarrete, R., Roncero, C., & González-Cantú, H. (2017) · Brazilian Journal of Psychiatry · doi:10.1590/1516-4446-2016-1972 · Cited by 8
System Identification of Just Walk: Using Matchable-Observable Linear Parametrizations
dos Santos, P. L., Freigoun, M. T., Martín, C. A., Rivera, D. E., Hekler, E. B., Romano, R. A., & Perdicoúlis, T.-P. A. (2018) · IEEE Transactions on Control Systems Technology · doi:10.1109/tcst.2018.2884833 · Cited by 8
Arigo, D., Lobo, A. F., Ainsworth, M. C., Baga, K., & Pasko, K. (2022) · JMIR Formative Research · doi:10.2196/36280 · Cited by 8
Thomann, A. M., Keyes, L., Ryan, A., & Graaf, G. (2020) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph17207402 · Cited by 7
Jonathan, G., Abitante, G., McBride, A., Bernstein, M., Babington, P., Dopke, C. A., Rossom, R. C., Mohr, D. C., & Goulding, E. H. (2024) · Journal of Affective Disorders · doi:10.1016/j.jad.2024.01.099 · Cited by 7
Stone, K. J., Schnake, K. L., & Moreland, A. D. (2023) · Early Childhood Research Quarterly · doi:10.1016/j.ecresq.2023.05.007 · Cited by 7
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Lin, Z., Effken, J. A., Li, Y.-J., & KUO, C.-H. (2010) · CIN Computers Informatics Nursing · doi:10.1097/ncn.0b013e3181f9db1c · Cited by 7
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Fleury, V. P., & Towson, J. A. (2021) · Exceptional Children · doi:10.1177/00144029211031865 · Cited by 7
Welch-Brewer, C. L. (2017) · International Journal of Offender Therapy and Comparative Criminology · doi:10.1177/0306624x17735055 · Cited by 8
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Theilig, M.-M., Korbel, J. J., Mayer, G., Hoffmann, C., & Zarnekow, R. (2019) · IEEE Access · doi:10.1109/access.2019.2958474 · Cited by 10
Stepped Care: A Promising Treatment Strategy for Mandated Students
Borsari, B. E., & Tevyaw, T. O. (2005) · NASPA Journal · doi:10.2202/1949-6605.1514 · Cited by 8
The Development of a Coaching Model: Challenges and Implications for Intervention Research
Wexler, J., Shelton, A., Swanson, E. A., Payne, S. B., Sayers, R. C., Johnston, T. B., Hogan, E. K., & Stark, K. (2025) · Remedial and Special Education · doi:10.1177/07419325241304126 · Cited by 9
The REDI-Parent Program: Enhancing the School Success of Children from Low-Income Families
Bierman, K. L., Nix, R. L., Welsh, J. A., Heinrichs, B. S., Loughlin‐Presnal, J. E., & McDoniel, M. E. (2021) · Research on Family-School Partnerships · doi:10.1007/978-3-030-74617-9_3 · Cited by 6
Self-citationHoltrop, K., Piehler, T. F., Miller, D. L., Young, D. L., Tseng, C., & Gray, L. J. (2023) · Behavior Therapy · doi:10.1016/j.beth.2023.06.004 · Cited by 7
Lee, C. A., Gamino, D., Lore, M. H., Donelson, C., & Windsor, L. C. (2023) · BMC Medical Research Methodology · doi:10.1186/s12874-023-01986-6 · Cited by 6
Mexican-Heritage Preadolescents' Ethnic Identification and Perceptions of Substance Use
Ndiaye, K., Hecht, M. L., Wagstaff, D. A., & Elek, E. (2009) · Substance Use & Misuse · doi:10.1080/10826080802544133 · Cited by 6
Evidence-Based Psychosocial Treatments for Adolescent Substance Abuse: A Review and Meta-Analyses
Waldron, H. B., & Turner, C. W. (2008) · Cited by 6
Formalization of Computational Human Behavior Models for Contextual Persuasive Technology
Murray, T., Hekler, E. B., Spruijt‐Metz, D., Rivera, D. E., & Raij, A. B. (2016) · Lecture notes in computer science · doi:10.1007/978-3-319-31510-2_13 · Cited by 6
Family-Based Behavioral Interventions for Childhood Obesity
Wilfley, D. E., & Balantekin, K. N. (2018) · Contemporary Endocrinology · doi:10.1007/978-3-319-68192-4_32 · Cited by 5
Adaptive Intervention Designs in Substance Use Prevention
Hall, K. L., Nahum-Shani, I. B., August, G. J., Patrick, M. E., Murphy, S. A., & Almirall, D. (2019) · Advances in prevention science · doi:10.1007/978-3-030-00627-3_17 · Cited by 6
Self-citationFeasibility of decision rule-based treatment of comorbid youth: A pilot randomized control trial
Wolff, J. C., Garcia, A. M., Kelly, L. M., Frazier, E. A., Jones, R. N., & Spirito, A. (2020) · Behaviour Research and Therapy · doi:10.1016/j.brat.2020.103625 · Cited by 6
Multitiered Systems of Support, Adaptive Interventions, and SMART Designs
Roberts, G., Clemens, N. H., Doabler, C. T., Vaughn, S. R., Almirall, D., & Nahum-Shani, I. B. (2021) · Exceptional Children · doi:10.1177/00144029211024141 · Cited by 8
Richardson, L., & Reid, C. L. (2006) · Clinical Psychologist · doi:10.1080/13284200600690453 · Cited by 6
Outcome trajectory estimation for optimal dynamic treatment regimes with repeated measures
Zhang, Y., Vock, D. M., Patrick, M. E., Finestack, L. H., & Murray, T. A. (2023) · Journal of the Royal Statistical Society Series C (Applied Statistics) · doi:10.1093/jrsssc/qlad037 · Cited by 6
Lei, H. (2016) · Deep Blue (University of Michigan) · Cited by 7
Banerjee, S., Kha, R. T., Rivera, D. E., & Hekler, E. B. (2024) · Journal of Process Control · doi:10.1016/j.jprocont.2024.103242 · Cited by 5
Sridhar, S. B., Ferrara, A. M., Brown, S. D., Quesenberry, C. P., Xu, F., Liu, E., Sedgwick, T., Kissel, P., Bandera, H. S., Albright, C. L., et al. (2024) · Contemporary Clinical Trials · doi:10.1016/j.cct.2024.107781 · Cited by 5
Nezami, B. T., Valle, C. G., Wasser, H., Hurley, L., Hatley, K. E., & Tate, D. F. (2025) · Contemporary Clinical Trials · doi:10.1016/j.cct.2025.107808 · Cited by 5
Herrero, R., Franke, M., Görlich, D., García‐Palacios, A., Baños, R., Jacobi, C., Berger, T., Schaub, M. P., Krieger, T., Ebert, D. D., et al. (2025) · Internet Interventions · doi:10.1016/j.invent.2025.100811 · Cited by 5
Jain, F. A., Okereke, O. I., Gitlin, L. N., Pedrelli, P., Onnela, J.-P. “., Nyer, M., Gomez, L. A. R., Pittman, M. A., Sikder, A. T., Ursal, D. J., et al. (2022) · Contemporary Clinical Trials · doi:10.1016/j.cct.2022.106737 · Cited by 5
Chen, L., Fosco, G. M., & Tornello, S. L. (2024) · Journal of Child and Family Studies · doi:10.1007/s10826-024-02807-0 · Cited by 5
Artificial Intelligence-Based Decision Support Systems for Precision and Digital Health
Deliu, N., & Chakraborty, B. (2025) · Springer eBooks · doi:10.1007/978-981-96-0742-6_1 · Cited by 15
Grumm, M., Hein, S. D., & Fingerle, M. (2012) · European Journal of Psychology of Education · doi:10.1007/s10212-012-0105-x · Cited by 5
Howe, G. W. (2022) · Prevention Science · doi:10.1007/s11121-022-01410-3 · Cited by 5
Dynamic Treatment Regimes for Optimizing Healthcare
Deliu, N., & Chakraborty, B. (2022) · Springer series in supply chain management · doi:10.1007/978-3-031-01926-5_15 · Cited by 5
A Vision of the Next Generation of Behavioral Therapies Research in the Addictions
Carroll, K. M., & Rounsaville, B. J. (2011) · FOCUS The Journal of Lifelong Learning in Psychiatry · doi:10.1176/foc.9.1.foc118 · Cited by 5
Time-varying SMART design and data analysis methods for evaluating adaptive intervention effects
Dai, T., & Shete, S. S. (2016) · BMC Medical Research Methodology · doi:10.1186/s12874-016-0202-7 · Cited by 5
Advances in clinical trials methodology: Intervention optimization approaches in emergency medicine
Bernstein, S. L., Carter, P. M., Meurer, W. J., Walton, M. A., Kidwell, K., Cunningham, R. M., Dziura, J. D., & Collins, L. M. (2021) · The American Journal of Emergency Medicine · doi:10.1016/j.ajem.2021.12.028 · Cited by 5
Self-citationPiña, A., & Gonzales, N. A. (2014) · Journal of Clinical Child & Adolescent Psychology · doi:10.1080/15374416.2014.888668 · Cited by 6
Prospective Association between Dieting and Smoking Initiation among Adolescents
Maldonado‐Molina, M. M., Komro, K. A., & Prado, G. J. (2007) · American Journal of Health Promotion · doi:10.4278/0890-1171-22.1.25 · Cited by 5
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Wilburn, S. T., Wilburn, K. T., Weaver, D. M., & Bowles, K. (2007) · Journal of Drug Education · doi:10.2190/de.37.4.g · Cited by 6
The Role of a Temperament Intervention in Kindergarten Children’s Standardized Academic Achievement
Collins, A., O’Connor, E. E., & McClowry, S. (2017) · Journal of Education and Training Studies · doi:10.11114/jets.v5i2.2138 · Cited by 6
Kiryankova-Dalseth, N., Szucs-Reed, R. P., Hennessy, M. H., Eisenberg, M. M., & Blank, M. B. (2017) · AIDS and Behavior · doi:10.1007/s10461-017-1795-5 · Cited by 5
Veeh, C. A., Renn, T., & Pettus‐Davis, C. (2017) · Social Work · doi:10.1093/sw/swx050 · Cited by 5
Inference for the Effectiveness of Personalized Medicine with SoftwarePreprint
Kapelner, A. D., Bleich, J., Levine, A., Cohen, Z. D., DeRubeis, R. J., & Berk, R. A. (2014) · arXiv (Cornell University) · Cited by 5
Impact of a brief intervention programs in clinical practice: Barriers and adaptations.
Martínez, K. M., Jiménez Pérez, A. L., Félix Romero, V., & Morales Chainé, S. (2018) · International Journal of Psychological Research · doi:10.21500/20112084.3485 · Cited by 4
Chun, H., Myers, N. D., Pacewicz, C. E., Malete, L., Prilleltensky, I., & Lee, S. (2025) · Measurement in Physical Education and Exercise Science · doi:10.1080/1091367x.2025.2462661 · Cited by 4
Ostermeier, E., Burke, S. M., Gilliland, J., & Tucker, P. (2023) · BMC Public Health · doi:10.1186/s12889-023-16465-2 · Cited by 9
El‐Toukhy, S., Pike, J. R., Zuckerman, G., & Hegeman, P. (2023) · JMIR Research Protocols · doi:10.2196/47567 · Cited by 4
Modeling Physical Activity Behavior Change
Seto, E., & Bajcsy, R. K. (2014) · Elsevier eBooks · doi:10.1016/b978-0-12-418662-0.00016-7 · Cited by 4
A robust MPC approach to the design of behavioural treatments
Bekiroglu, K., Lagoa, C. M., Murphy, S. A., & Lanza, S. T. (2013) · IEEE Conference on Decision and Control (CDC) · doi:10.1109/cdc.2013.6760421 · Cited by 4
Self-citationSchueller, S. M. (2011) · Cited by 4
Grant, S., Agniel, D. M., Almirall, D., Burkhart, Q., Hunter, S. B., McCaffrey, D. F., Pedersen, E. R., Ramchand, R., & Griffin, B. A. (2017) · Addiction Science & Clinical Practice · doi:10.1186/s13722-017-0099-4 · Cited by 7
Adult and Juvenile Drug Courts
Marlowe, D. B. (2011) · Issues in children's and families' lives · doi:10.1007/978-1-4419-9470-7_8 · Cited by 4
Gwadz, M. V., Cleland, C. M., Lizardo, M., Hawkins, R. L., Bangser, G., Parameswaran, L., Stanhope, V., Robinson, J. A., Karim, S., Hollaway, T., et al. (2022) · BMC Public Health · doi:10.1186/s12889-022-13576-0 · Cited by 4
Fox, C. K., Vock, D. M., Sherwood, N. E., Gross, A. C., Ryder, J. R., Bensignor, M. O., Bomberg, E. M., Sunni, M., Bramante, C. T., Jacobs, N., et al. (2024) · Contemporary Clinical Trials · doi:10.1016/j.cct.2024.107444 · Cited by 4
PTSD, substance use, and veterans' involvement in the legal system: Veterans treatment courts.
Borsari, B. E., Conrad, S. M., Mastroleo, N. R., & Tolou‐Shams, M. (2013) · American Psychological Association eBooks · doi:10.1037/14273-010 · Cited by 4
Design and Evaluation of Online and Mobile Applications for Stress Management and Healthy Eating
Kaipainen, K. (2014) · Tampere University Institutional Repository (Tampere University) · Cited by 4
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Viswanath, K., & Agha, S. (2023) · Global Health Science and Practice · doi:10.9745/ghsp-d-23-00450 · Cited by 4
A Risk-based Model Predictive Control Approach to Adaptive Interventions in Behavioral Health
Zafra-Cabeza, A., Rivera, D. E., Collins, L. M., Ridao, M. A., & Camacho, E. F. (2006) · Proceedings of the 45th IEEE Conference on Decision and Control · doi:10.1109/cdc.2006.377686 · Cited by 3
Self-citationHoward, M. C. (2022) · Diagnosis · doi:10.1515/dx-2022-0077 · Cited by 3
Janitz, A. E., Neil, J. M., Bray, L. A., Jervis, L. L., Ross, L., Campbell, J. E., Doescher, M. P., Spicer, P. G., Williams, M. L., Lopez, A. K., et al. (2023) · BMC Public Health · doi:10.1186/s12889-023-16077-w · Cited by 3
Nahum-Shani, I. B., Yap, J. R. T., Bamberger, P. A., Wang, M., Larimer, M. E., & Bacharach, S. B. (2024) · Human Relations · doi:10.1177/00187267241298620 · Cited by 3
Mistiri, M. E., Rivera, D. E., Klasnja, P., Park, J.-H., & Hekler, E. B. (2025) · International Journal of Control · doi:10.1080/00207179.2025.2491109 · Cited by 3
Jones, D. J., Anton, M. T., Zachary, C., & Loiselle, R. (2018) · Journal of Technology in Behavioral Science · doi:10.1007/s41347-018-0072-4 · Cited by 3
Relationship Maintenance in Couple Therapy and Relationship Education
Vennum, A., Kanter, J. B., & Baptist, J. A. (2019) · Cambridge University Press eBooks · doi:10.1017/9781108304320.018 · Cited by 3
Profiles of Substance Use in Adolescents With Severe Obesity
Becnel, J. N., Giano, Z. D., Williams, A. L., & Merten, M. J. (2020) · Youth & Society · doi:10.1177/0044118x20968389 · Cited by 3
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Seewald, N. J. (2022) · American Journal of Public Health · doi:10.2105/ajph.2022.307157 · Cited by 4
Mavodza, C., Bernays, S., Mackworth-Young, C. R. S., Nyamwanza, R. P., Nzombe, P., Dauya, E., Chikwari, C. D., Tembo, M., Apollo, T., Mugurungi, O. M., et al. (2023) · Global Implementation Research and Applications · doi:10.1007/s43477-023-00075-6 · Cited by 5
Henry, L. M., & Compas, B. E. (2023) · JAACAP Open · doi:10.1016/j.jaacop.2023.09.006 · Cited by 6
Howard, M. C. (2024) · British Journal of Health Psychology · doi:10.1111/bjhp.12753 · Cited by 3
Latent structure of dieting among female high-school students in Japan
Kachi, Y. (2009) · Personality and Individual Differences · doi:10.1016/j.paid.2009.08.003 · Cited by 3
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Mancha, B. E., Hulbert, A., & Latimer, W. W. (2012) · Substance Use & Misuse · doi:10.3109/10826084.2011.643525 · Cited by 3
Using family-focused interventions to promote child behavioral readiness for school
Bierman, K. L., Nix, R. L., & Makin-Byrd, K. N. (2007) · doi:10.4324/9780203809754-25 · Cited by 3
Self-citationA control‐based observer approach for estimating energy intake during pregnancy
Ranghetti, L., Rivera, D. E., Guo, P., Visioli, A., Williams, J. S., & Downs, D. S. (2022) · International Journal of Robust and Nonlinear Control · doi:10.1002/rnc.6019 · Cited by 3
Molefe, L. L., Sehularo, L. A., & Koen, D. (2022) · Curationis · doi:10.4102/curationis.v45i1.2316 · Cited by 2
Development of structured treatment interruption strategies for HIV infection
Rosenberg, E. S., Davidian, M., & Banks, H. T. (2006) · NCSU Libraries Repository (North Carolina State University Libraries) · Cited by 3
Beck, A. D. (2015) · Research Exchange (Washington State University) · Cited by 3
CAREGIVER FAMILY THERAPY: A PILOT STUDY OF TREATMENT FIDELITY, ACCEPTABILITY, AND EFFICACY
O’Malley, K. (2017) · Innovation in Aging · doi:10.1093/geroni/igx004.1661 · Cited by 3
Multiphase Optimization Strategy (MOST)
Goldstein, C. M., & Kugler, K. C. (2019) · Springer eBooks · doi:10.1007/978-1-4614-6439-6_101966-1 · Cited by 3
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Howard, M. C. (2025) · Environment and Behavior · doi:10.1177/00139165251340179 · Cited by 2
Ramanadhan, S., Mahtani, S. L., D’Costa, M., Mandal, G., Jagiasi, D., Chawla, R., Minsky, S. J., Xuan, Z., Lopez, M. M., & Gupte, H. (2025) · BMJ Open · doi:10.1136/bmjopen-2025-101969 · Cited by 2
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Metadata
- Authors
- Collins, L. M., Murphy, S. A., & Bierman, K. L.
- Affiliations
- Pennsylvania State University (US)
- University of Michigan (US)
- Corresponding author
- Collins, Linda M.
- Venue
- Prevention Science
- Published
- 2004-09
- Volume
- 5
- Issue
- 3
- Pages
- 185-196
- ISSN
- 1389-4986 (ISSN-L)
- 1573-6695
- 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
- 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
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