Cited by 335Optimal Experimental Design MethodsStatistical Methods in Clinical TrialsAdvanced Causal Inference Techniques

The DOI matches its Crossref record; 27 of the 27 references it cites were found in a registry or an index.

Factorial Experiments

Open access

Collins, Linda M., Dziak, John J., Kugler, Kari C., Trail, Jessica B.·2014·American Journal of Preventive Medicine

DOI 10.1016/j.amepre.2014.06.021PMC PMC4171184

Open this paper in CoChat — free account

Abstract

Background An understanding of the individual and combined effects of a set of intervention components is important for moving the science of preventive medicine interventions forward. This understanding can often be achieved in an efficient and economical way via a factorial experiment, in which two or more independent variables are manipulated. The factorial experiment is a complement to the RCT; the two designs address different research questions.Purpose To offer an introduction to factorial experiments aimed at investigators trained primarily in the RCT.Methods The factorial experiment is compared and contrasted with other experimental designs used commonly in intervention science to highlight where each is most efficient and appropriate.Results Several points are made: factorial experiments make very efficient use of experimental subjects when the data are properly analyzed; a factorial experiment can have excellent statistical power even if it has relatively few subjects per experimental condition; and when conducting research to select components for inclusion in a multicomponent intervention, interactions should be studied rather than avoided.Conclusions Investigators in preventive medicine and related areas should begin considering factorial experiments alongside other approaches. Experimental designs should be chosen from a resource management perspective, which states that the best experimental design is the one that provides the greatest scientific benefit without exceeding available resources.

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 · 10.1016/j.amepre.2014.06.021

Cites

27 of 27 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.

Statistical Methods for Research Workers
Fisher, R. A. (1945) · American Journal of Clinical Pathology · doi:10.1093/ajcp/15.11.552b · Cited by 10,883
Response Surface Methodology: Process and Product Optimization Using Designed Experiments
Gunst, R. F., Myers, R. H., & Montgomery, D. C. (1996) · Technometrics · doi:10.2307/1270613 · Cited by 9,554
Experimental Design: Procedures for the Behavioral Sciences
Kirk, R. (2013) · doi:10.4135/9781483384733 · Cited by 8,539
Response Surface Methodology: Process and Product Optimization Using Designed Experiments
Gunst, R. F. (1996) · Technometrics · doi:10.1080/00401706.1996.10484509 · Cited by 3,302
Statistical Methods for Research Workers.
I., L., & Fisher, R. A. (1926) · Journal Of The Royal Statistical Society · doi:10.2307/2341488 · Cited by 2,171
A Factorial Trial of Six Interventions for the Prevention of Postoperative Nausea and Vomiting
Apfel, C. C., Korttila, K. T., Abdalla, M., Kerger, H., Turan, A., Vedder, I., Zernak, C., Danner, K., Jokela, R. M., Pocock, S., et al. (2004) · New England Journal of Medicine · doi:10.1056/nejmoa032196 · Cited by 1,550
Design and Analysis of Experiments
Ryan, T. P. (2007) · Wiley eBooks · doi:10.1002/9780470187548.ch12 · Cited by 1,435
Experiments - Planning, Analysis and Parameter Design Optimization
(2001) · Journal of Tropical Pediatrics · doi:10.1093/tropej/47.2.126 · Cited by 1,140
The Multiphase Optimization Strategy (MOST) and the Sequential Multiple Assignment Randomized Trial (SMART)
Collins, L. M., Murphy, S. A., & Strecher, V. (2007) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2007.01.022 · Cited by 1,082
Self-citation
Design of Experiments: Statistical Principles of Research Design and Analysis
Kuehl, R. O. (1999) · Cited by 908

Flagged first, then by citations

Show all 27 references

Sorted by citations

Developing and evaluating digital interventions to promote behavior change in health and health care: recommendations resulting from an international workshop
Michie, S., Yardley, L., West, R., Patrick, K., & Greaves, F. (2017) · Journal of Medical Internet Research · doi:10.2196/jmir.7126 · Cited by 865
“Theories, models, and methods to support this approach can be found in systems engineering and related sectors, for example, control theory [8], use of factorial or fractionated evaluation designs [9], and system optimization strategies [10] (please refer to [2] and Multimedia Appendix 2 for more details).”
Method
Evaluating Digital Health Interventions
Murray, E., Hekler, E. B., Andersson, G., Collins, L. M., Doherty, A., Hollis, C., Rivera, D. E., West, R., & Wyatt, J. C. (2016) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2016.06.008 · Cited by 847
Self-citation
The Lancet Commission on the future of care and clinical research in autism
Lord, C., Charman, T., Havdahl, A., Carbone, P., Anagnostou, E., Boyd, B., Carr, T., de Vries, P. J., Dissanayake, C., Divan, G., et al. (2022) · The Lancet · doi:10.1016/s0140-6736(21)01541-5 · Cited by 924
Internet-delivered psychological treatments: from innovation to implementation
Andersson, G., Titov, N., Dear, B. F., Rozental, A., & Carlbring, P. (2019) · World Psychiatry · doi:10.1002/wps.20610 · Cited by 750
The impact of digital technology on psychological treatments and their dissemination
Fairburn, C. G., & Patel, V. (2017) · Behaviour Research and Therapy · doi:10.1016/j.brat.2016.08.012 · Cited by 448
Experimental and quasi-experimental designs in implementation research
Miller, C. J., Smith, S. N., & Pugatch, M. (2020) · Psychiatry Research · doi:10.1016/j.psychres.2019.06.027 · Cited by 373
Inclusion of females does not increase variability in rodent research studies
Beery, A. K. (2018) · Current Opinion in Behavioral Sciences · doi:10.1016/j.cobeha.2018.06.016 · Cited by 386
Efficacy of Contextually Tailored Suggestions for Physical Activity: A Micro-randomized Optimization Trial of HeartSteps
Klasnja, P., Smith, S., Seewald, N. J., Lee, A., Hall, K., Luers, B., Hekler, E. B., & Murphy, S. A. (2019) · Annals of Behavioral Medicine · doi:10.1093/abm/kay067 · Cited by 241
The Engagement Problem: a Review of Engagement with Digital Mental Health Interventions and Recommendations for a Path Forward
Lipschitz, J. M., Pike, C. K., Hogan, T. P., Murphy, S. A., & Burdick, K. E. (2023) · Current Treatment Options in Psychiatry · doi:10.1007/s40501-023-00297-3 · Cited by 241
Optimization of Multicomponent Behavioral and Biobehavioral Interventions for the Prevention and Treatment of HIV/AIDS
Collins, L. M., Kugler, K. C., & Gwadz, M. V. (2015) · AIDS and Behavior · doi:10.1007/s10461-015-1145-4 · Cited by 166
Self-citation
Applying and advancing behavior change theories and techniques in the context of a digital health revolution: proposals for more effectively realizing untapped potential
Moller, A. C., Merchant, G., Conroy, D. E., West, R., Hekler, E., Kugler, K. C., & Michie, S. (2017) · Journal of Behavioral Medicine · doi:10.1007/s10865-016-9818-7 · Cited by 151
Self-citation
Precision Health: The Role of the Social and Behavioral Sciences in Advancing the Vision
Hekler, E. B., Tiro, J. A., Hunter, C. M., & Nebeker, C. (2020) · Annals of Behavioral Medicine · doi:10.1093/abm/kaaa018 · Cited by 154
Which behaviour change techniques are effective to promote physical activity and reduce sedentary behaviour in adults: a factorial randomized trial of an e- and m-health intervention
Schroé, H., Dyck, D. V., Paepe, A. L. D., Poppe, L., Loh, W. W., Verloigne, M., Loeys, T., Bourdeaudhuij, I. D., & Crombez, G. (2020) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/s12966-020-01001-x · Cited by 149
Tutorial for Using Control Systems Engineering to Optimize Adaptive Mobile Health Interventions
Hekler, E. B., Rivera, D. E., Martín, C. A., Phatak, S. S., Freigoun, M. T., Korinek, E. V., Klasnja, P., Adams, M. A., & Buman, M. P. (2018) · Journal of Medical Internet Research · doi:10.2196/jmir.8622 · Cited by 141
Developing Embodied Conversational Agents for Coaching People in a Healthy Lifestyle: Scoping Review
Kramer, L. L., ter Stal, S., Mulder, B. C., de Vet, E., & van Velsen, L. (2020) · Journal of Medical Internet Research · doi:10.2196/14058 · Cited by 121
“A more fine-grained evaluation can be achieved by means of a factorial design, as this allows researchers to deliver specific intervention components to different groups of users [42].”
Background
Effect of Multinutrient Supplementation and Food-Related Behavioral Activation Therapy on Prevention of Major Depressive Disorder Among Overweight or Obese Adults With Subsyndromal Depressive Symptoms: The MooDFOOD Randomized Clinical Trial
Bot, M., Brouwer, I. A., Roca, M., Kohls, E., Penninx, B. W. J. H., Watkins, E., van Grootheest, G., Cabout, M., Hegerl, U., Gili, M., et al. (2019) · JAMA · doi:10.1001/jama.2019.0556 · Cited by 128
Adaptive goal setting and financial incentives: a 2 × 2 factorial randomized controlled trial to increase adults’ physical activity
Adams, M. A., Hurley, J. C., Todd, M., Bhuiyan, N., Jarrett, C. L., Tucker, W. J., Hollingshead, K. E., & Angadi, S. S. (2017) · BMC Public Health · doi:10.1186/s12889-017-4197-8 · Cited by 110
Designs and methods for implementation research: Advancing the mission of the CTSA program
Hwang, S., Birken, S. A., Melvin, C. L., Rohweder, C. L., & Smith, J. D. (2020) · Journal of Clinical and Translational Science · doi:10.1017/cts.2020.16 · Cited by 99
Managing temptation in obesity treatment: A neurobehavioral model of intervention strategies
Appelhans, B. M., French, S. A., Pagoto, S., & Sherwood, N. E. (2015) · Appetite · doi:10.1016/j.appet.2015.09.035 · Cited by 108
Identifying effective intervention components for smoking cessation: a factorial screening experiment
Piper, M. E., Fiore, M. C., Smith, S. S., Fraser, D. L., Bolt, D. M., Collins, L. M., Mermelstein, R. J., Schlam, T. R., Cook, J. W., Jorenby, D. E., et al. (2015) · Addiction · doi:10.1111/add.13162 · Cited by 92
Self-citation
Improving transparency and scientific rigor in academic publishing
Prager, E. M., Chambers, K. E., Plotkin, J. L., McArthur, D. L., Bandrowski, A. E., Bansal, N., Martone, M. E., Bergstrom, H. C., Bespalov, A., & Graf, C. (2019) · Journal of Neuroscience Research · doi:10.1002/jnr.24340 · Cited by 83
Comparative Effectiveness of Behavioral Interventions on Quality of Life for Older Adults With Mild Cognitive Impairment: A Randomized Clinical Trial
Chandler, M. J., Locke, D. E., Crook, J. E., Fields, J. A., Ball, C. T., Phatak, V. S., Dean, P. M., Morris, M., & Smith, G. E. (2019) · JAMA Network Open · doi:10.1001/jamanetworkopen.2019.3016 · Cited by 75
Using the multiphase optimization strategy (MOST) to optimize an HIV care continuum intervention for vulnerable populations: a study protocol
Gwadz, M. V., Collins, L. M., Cleland, C. M., Leonard, N. R., Wilton, L., Gandhi, M., Braithwaite, R. S., Perlman, D. C., Kutnick, A. H., & Ritchie, A. S. (2017) · BMC Public Health · doi:10.1186/s12889-017-4279-7 · Cited by 76
Self-citation
Targeted eHealth Intervention to Reduce Breast Cancer Survivors’ Fear of Recurrence: Results From the FoRtitude Randomized Trial
Wagner, L. I., Tooze, J. A., Hall, D. L., Levine, B. J., Beaumont, J., Duffecy, J., Victorson, D., Gradishar, W., Leach, J., Saphner, T., et al. (2021) · JNCI: Journal of the National Cancer Institute · doi:10.1093/jnci/djab100 · Cited by 67
The evolved psychological mechanisms of fertility motivation: hunting for causation in a sea of correlation
McAllister, L. S., Pepper, G. V., Virgo, S., & Coall, D. A. (2016) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2015.0151 · Cited by 76
Machine Learning Optimization of Lignin Properties in Green Biorefineries
Löfgren, J., Tarasov, D., Koitto, T., Rinke, P., Balakshin, M. Y., & Todorović, M. (2022) · ACS Sustainable Chemistry & Engineering · doi:10.1021/acssuschemeng.2c01895 · Cited by 65
Assessing the Effects of Interpersonal and Intrapersonal Behavior Change Strategies on Physical Activity in Older Adults: a Factorial Experiment
McMahon, S., Lewis, B. A., Oakes, J. M., Wyman, J. F., Guan, W., & Rothman, A. J. (2017) · Annals of Behavioral Medicine · doi:10.1007/s12160-016-9863-z · Cited by 72
Pervasive Neglect of Sex Differences in Biomedical ResearchPreprint
Zucker, I., Prendergast, B. J., & Beery, A. K. (2021) · Cold Spring Harbor Perspectives in Biology · doi:10.1101/cshperspect.a039156 · Cited by 67
Prevention of depression through nutritional strategies in high-risk persons: rationale and design of the MooDFOOD prevention trial
on behalf of the MooDFOOD Prevention Trial Investigators, Roca, M., Kohls, E., Gili, M., Watkins, E. R., Owens, M., Hegerl, U., van Grootheest, G., Bot, M., Cabout, M., et al. (2016) · BMC Psychiatry · doi:10.1186/s12888-016-0900-z · Cited by 65
Research strategies to discern active psychological therapy components: A scoping review
Leijten, P., Weisz, J. R., & Gardner, F. (2021) · Clinical Psychological Science · doi:10.1177/2167702620978615 · Cited by 55
Comparative effectiveness of motivation phase intervention components for use with smokers unwilling to quit: a factorial screening experiment
Cook, J. W., Collins, L. M., Fiore, M. C., Smith, S. S., Fraser, D. L., Bolt, D. M., Baker, T. B., Piper, M. E., Schlam, T. R., Jorenby, D. E., et al. (2015) · Addiction · doi:10.1111/add.13161 · Cited by 60
Self-citation
Improving transparency and scientific rigor in academic publishing
Prager, E. M., Chambers, K. E., Plotkin, J. L., McArthur, D. L., Bandrowski, A. E., Bansal, N., Martone, M. E., Bergstrom, H. C., Bespalov, A., & Graf, C. (2018) · Brain and Behavior · doi:10.1002/brb3.1141 · Cited by 70
Enhancing the effectiveness of smoking treatment research: conceptual bases and progress
Baker, T. B., Collins, L. M., Mermelstein, R. J., Piper, M. E., Schlam, T. R., Cook, J. W., Bolt, D. M., Smith, S. S., Jorenby, D. E., Fraser, D. L., et al. (2015) · Addiction · doi:10.1111/add.13154 · Cited by 54
Self-citation
Targeting self-regulation to promote health behaviors in children
Miller, A. L., Gearhardt, A. N., Fredericks, E. M., Katz, B., Shapiro, L. F., Holden, K., Kaciroti, N., Gonzalez, R., Hunter, C. M., & Lumeng, J. C. (2017) · Behaviour Research and Therapy · doi:10.1016/j.brat.2017.09.008 · Cited by 61
Lipid-Based Gliclazide Nanoparticles for Treatment of Diabetes: Formulation, Pharmacokinetics, Pharmacodynamics and Subacute Toxicity Study
Nazief, A. M., Hassaan, P. S., Khalifa, H. M., Sokar, M. S., & El-Kamel, A. H. (2020) · International Journal of Nanomedicine · doi:10.2147/ijn.s235290 · Cited by 53
A smartphone “app”-delivered randomized factorial trial targeting physical activity in adults
Fanning, J. T., Roberts, S. A., Hillman, C. H., Mullen, S. P., Ritterband, L. M., & McAuley, E. (2017) · Journal of Behavioral Medicine · doi:10.1007/s10865-017-9838-y · Cited by 56
Factorial Designs Help to Understand How Psychological Therapy Works
Watkins, E. R., & Newbold, A. (2020) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2020.00429 · Cited by 55
Implementing multifactorial psychotherapy research in online virtual environments (IMPROVE-2): study protocol for a phase III trial of the MOST randomized component selection method for internet cognitive-behavioural therapy for depression
Watkins, E. R., Newbold, A., Tester‐Jones, M., Javaid, M., Cadman, J., Collins, L. M., Graham, J., & Mostazir, M. (2016) · BMC Psychiatry · doi:10.1186/s12888-016-1054-8 · Cited by 53
Self-citation
Treatment seeking as a mechanism of change in a randomized controlled trial of a mobile health intervention to support recovery from alcohol use disorders
Glass, J. E., McKay, J. R., Gustafson, D. H., Kornfield, R., Rathouz, P. J., Mctavish, F. M., Atwood, A. K., Isham, A., Quanbeck, A., & Shah, D. V. (2017) · Journal of Substance Abuse Treatment · doi:10.1016/j.jsat.2017.03.011 · Cited by 49
Toward Usable Evidence: Optimizing Knowledge Accumulation in HCI Research on Health Behavior Change
Klasnja, P., Hekler, E. B., Korinek, E. V., Harlow, J., & Mishra, S. R. (2017) · Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3025453.3026013 · Cited by 44
A novel multi-component online intervention to improve the mental health of university students: Randomised controlled trial of the Uni Virtual Clinic
Farrer, L. M., Gulliver, A., Katruss, N., Fassnacht, D. B., Kyrios, M., & Batterham, P. J. (2019) · Internet Interventions · doi:10.1016/j.invent.2019.100276 · Cited by 46
Improved Designs for Cluster Randomized Trials
Crespi, C. M. (2015) · Annual Review of Public Health · doi:10.1146/annurev-publhealth-032315-021702 · Cited by 46
Health Promotion and Healthier Products Increase Vending Purchases: A Randomized Factorial Trial
Hua, S. V., Kimmel, L., Emmenes, M. V., Taherian, R., Remer, G., Millman, A., & Ickovics, J. R. (2017) · Journal of the Academy of Nutrition and Dietetics · doi:10.1016/j.jand.2016.12.006 · Cited by 46
Using Digital Technology to Reduce the Prevalence of Mental Health Disorders in Populations: Time for a New Approach
Taylor, C. B., Ruzek, J. I., Fitzsimmons‐Craft, E. E., Sadeh‐Sharvit, S., Topooco, N., Weissman, R. S., Eisenberg, D., Mohr, D. C., Graham, A. K., Jacobi, C., et al. (2020) · Journal of Medical Internet Research · doi:10.2196/17493 · Cited by 46
A Randomized Controlled Trial of an Optimized Smoking Treatment Delivered in Primary Care
Piper, M. E., Cook, J. W., Schlam, T. R., Jorenby, D. E., Smith, S. S., Collins, L. M., Mermelstein, R. J., Fraser, D. L., Fiore, M. C., & Baker, T. B. (2018) · Annals of Behavioral Medicine · doi:10.1093/abm/kax059 · Cited by 47
Self-citation
A factorial experimental analysis of using wood fly ash as an alkaline activator along with coal fly ash for production of geopolymer-cementitious hybrids
Lin, W. Y., Prabhakar, A. K., Mohan, B. C., & Wang, C. (2019) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2019.135289 · Cited by 43
Design and Delivery Features That May Improve the Use of Internet-Based Cognitive Behavioral Therapy for Children and Adolescents With Anxiety: A Realist Literature Synthesis With a Persuasive Systems Design Perspective
Radomski, A. D., Wozney, L., McGrath, P., Huguet, A., Hartling, L., Dyson, M. P., Bennett, K., & Newton, A. S. (2019) · Journal of Medical Internet Research · doi:10.2196/11128 · Cited by 40
“Modeling, factorial designs or the multiphase optimization strategy [110-112] (see also Baker et al’s study [113] for other suggestions) can be used to evaluate the best set (individual or combination) of program features to use under different conditions (eg, delivery setting and start or end of…”
Method
Investigation of Active Ingredients Within Internet-Delivered Cognitive Behavioral Therapy for Depression: A Randomized Optimization Trial
Watkins, E., Newbold, A., Tester-Jones, M., Collins, L. M., & Mostazir, M. (2023) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2023.1937 · Cited by 40
Self-citation
Developmentally informed behaviour change techniques to enhance self-regulation in a health promotion context: a conceptual review
Miller, A. L., Lo, S. L., Bauer, K. W., & Fredericks, E. M. (2020) · Health Psychology Review · doi:10.1080/17437199.2020.1718530 · Cited by 43
Evaluation Methods Applied to Digital Health Interventions: What Is Being Used beyond Randomised Controlled Trials?—A Scoping Review
Hrynyschyn, R., Prediger, C., Stock, C., & Helmer, S. M. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph19095221 · Cited by 46
Revising the dark fermentative H2 research and development scenario – An overview of the recent advances and emerging technological approaches
Sekoai, P. T., Daramola, M. O., Mogwase, B. M. S., Engelbrecht, N., Yoro, K. O., du Preez, S. P., Mhlongo, S. I., Ezeokoli, O. T., Ghimire, A., Ayeni, A. O., et al. (2020) · Biomass and Bioenergy · doi:10.1016/j.biombioe.2020.105673 · Cited by 38
Optimization of a technology-supported physical activity intervention for breast cancer survivors: Fit2Thrive study protocol
Phillips, S. M., Collins, L. M., Penedo, F. J., Courneya, K. S., Welch, W. A., Cottrell, A., Lloyd, G. R., Gavin, K. L., Cella, D. F., Ackermann, R. T., et al. (2018) · Contemporary Clinical Trials · doi:10.1016/j.cct.2018.01.001 · Cited by 37
Self-citation
Design Considerations for Implementing eHealth Behavioral Interventions for HIV Prevention in Evolving Sociotechnical Landscapes
Li, D. H., Brown, C. H., Gallo, C. G., Morgan, E., Sullivan, P. S., Young, S. D., & Mustanski, B. S. (2019) · Current HIV/AIDS Reports · doi:10.1007/s11904-019-00455-4 · Cited by 36
What is the optimum design for my animal experiment?
Karp, N. A., & Fry, D. (2021) · BMJ Open Science · doi:10.1136/bmjos-2020-100126 · Cited by 41
Public health measures for covid-19
Glasziou, P., Michie, S., & Fretheim, A. (2021) · BMJ · doi:10.1136/bmj.n2729 · Cited by 36
The Role of Learning Support and Chat-Sessions in Guided Internet-Based Cognitive Behavioral Therapy for Adolescents With Anxiety: A Factorial Design Study
Berg, M., Rozental, A., de Brun Mangs, J., Näsman, M., Strömberg, K., Viberg, L., Wallner, E., Åhman, H., Silfvernagel, K., Zetterqvist, M., et al. (2020) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2020.00503 · Cited by 35
Tobacco dependence treatment in the emergency department: A randomized trial using the Multiphase Optimization Strategy
Bernstein, S. L., Dziura, J., Weiss, J., Miller, T. R., Vickerman, K. A., Grau, L. E., Pantalon, M. V., Abroms, L. C., Collins, L. M., & Toll, B. A. (2017) · Contemporary Clinical Trials · doi:10.1016/j.cct.2017.12.016 · Cited by 34
Self-citation
The Efficacy of Direct Mail, Patient Navigation, and Incentives for Increasing Mammography and Colonoscopy in the Medicaid Population: A Randomized Controlled Trial
Slater, J. S., Parks, M. J., Nelson, C. L., & Hughes, K. D. (2018) · Cancer Epidemiology Biomarkers & Prevention · doi:10.1158/1055-9965.epi-18-0038 · Cited by 34
Effects Of Alternative Food Voucher Delivery Strategies On Nutrition Among Low-Income Adults
Basu, S., Gardner, C. D., White, J. S., Rigdon, J., Carroll, M. M., Akers, M., & Seligman, H. K. (2019) · Health Affairs · doi:10.1377/hlthaff.2018.05405 · Cited by 34
The DIAMOND trial – DIfferent Approaches to MOderate & late preterm Nutrition: Determinants of feed tolerance, body composition and development: protocol of a randomised trial
on behalf of the DIAMOND Study Group, Bloomfield, F. H., Harding, J. E., Meyer, M. P., Alsweiler, J. M., Jiang, Y., Wall, C. R., & Alexander, T. (2018) · BMC Pediatrics · doi:10.1186/s12887-018-1195-7 · Cited by 34
Novel adaptive surrogate model based on LRPIM for probabilistic analysis of turbine disc
Mao, J., Hu, D., Li, D., Wang, R., & Song, J. H. (2017) · Aerospace Science and Technology · doi:10.1016/j.ast.2017.07.044 · Cited by 33
A method for defining the CORE of a psychosocial intervention to guide adaptation in practice: Reciprocal imitation teaching as a case example
Edmunds, S. R., Frost, K. M., Sheldrick, R. C., Bravo, A., Straiton, D., Pickard, K. E., Grim, V., Drahota, A., Kuhn, J., Azad, G. F., et al. (2022) · Autism · doi:10.1177/13623613211064431 · Cited by 33
Developing Optimized Adaptive Interventions in Education
Almirall, D., Kasari, C. L., McCaffrey, D. F., & Nahum-Shani, I. B. (2017) · Journal of Research on Educational Effectiveness · doi:10.1080/19345747.2017.1407136 · Cited by 32
Multilevel factorial designs with experiment-induced clustering.
Nahum-Shani, I. B., Dziak, J. J., & Collins, L. M. (2017) · Psychological Methods · doi:10.1037/met0000128 · Cited by 30
Self-citation
Distinguishing moral hazard from access for high-cost healthcare under insurance
Robertson, C. T., Yuan, A., Zhang, W., & Joiner, K. A. (2020) · PLoS ONE · doi:10.1371/journal.pone.0231768 · Cited by 31
Applying the Multiphase Optimization Strategy for the Development of Optimized Interventions in Palliative Care
Wells, R. D., Guastaferro, K., Azuero, A., Rini, C., Hendricks, B. A., Dosse, C., Taylor, R., Williams, G. R., Engler, S., Smith, C., et al. (2021) · Journal of Pain and Symptom Management · doi:10.1016/j.jpainsymman.2020.11.017 · Cited by 28
A quality-improvement optimization pilot of BariFit, a mobile health intervention to promote physical activity after bariatric surgery
Klasnja, P., Rosenberg, D. E., Zhou, J., Anau, J., Gupta, A. S., & Arterburn, D. E. (2020) · Translational Behavioral Medicine · doi:10.1093/tbm/ibaa040 · Cited by 31
Behavioral Interventions in Mild Cognitive Impairment (MCI): Lessons from a Multicomponent Program
Levy, S.-A. T., Smith, G. E., Wit, L. D., DeFeis, B. L., Ying, G., Amofa, P., Locke, D. E. C., Shandera‐Ochsner, A. L., McAlister, C. B., Phatak, V. S., et al. (2022) · Neurotherapeutics · doi:10.1007/s13311-022-01225-8 · Cited by 30
A self-control training app to increase self-control and reduce aggression – A full factorial design
Kip, H., Silva, M. C. D., Bouman, Y. H. A., van Gemert-Pijnen, L. J. E. W. C., & Kelders, S. M. (2021) · Internet Interventions · doi:10.1016/j.invent.2021.100392 · Cited by 25
Relationships Between the Axial Derotation of the Lower Instrumented Vertebra and Uninstrumented Lumbar Curve Correction: Radiographic Outcome in Lenke 1 Adolescent Idiopathic Scoliosis With a Minimum 2-Year Follow-up
Pasha, S., Cahill, P. J., Flynn, J. M. “., Sponseller, P. D., & Newton, P. O. (2018) · Journal of Pediatric Orthopaedics · doi:10.1097/bpo.0000000000001136 · Cited by 26
Coping strategies tailored to the management of fear of recurrence and adaptation for E‐health delivery: The FoRtitude intervention
Wagner, L. I., Duffecy, J., Penedo, F., Mohr, D. C., & Cella, D. (2017) · Cancer · doi:10.1002/cncr.30602 · Cited by 24
Experimental Planning Factorial: A brief Review
Oliveira, M. D., Lima, V. M., Yamashita, S. M. A., Alves, P. S., & Portella, A. C. F. (2018) · International Journal of Advanced Engineering Research and Science · doi:10.22161/ijaers.5.6.28 · Cited by 27
A Digital Health Intervention (SweetGoals) for Young Adults With Type 1 Diabetes: Protocol for a Factorial Randomized Trial
Stanger, C., Kowatsch, T., Xie, H., Nahum-Shani, I. B., Lim-Liberty, F., Anderson, M. A. B., Santhanam, P., Kaden, S. J., & Rosenberg, B. (2021) · JMIR Research Protocols · doi:10.2196/27109 · Cited by 22
Optimizing Implementation in Cancer Control (OPTICC): protocol for an implementation science center
Lewis, C. C., Hannon, P. A., Klasnja, P., Baldwin, L., Hawkes, R. J., Blackmer, J., & Johnson, A. N. (2021) · Implementation Science Communications · doi:10.1186/s43058-021-00117-w · Cited by 23
Combined effects of di (2-ethylhexyl) phthalate and bisphenol A on thyroid hormone homeostasis in adolescent female rats
Zhang, X. K., Zhao, Y., Cheng, C., Li, L., Xiao, M., Zhang, G., & Lu, X. (2020) · Environmental Science and Pollution Research · doi:10.1007/s11356-020-09949-w · Cited by 24
Adaptive Goals and Reinforcement Timing to Increase Physical Activity in Adults: A Factorial Randomized Trial
Adams, M. A., Todd, M. W., Angadi, S. S., Hurley, J. C., Stecher, C. D., Berardi, V., Phillips, C. B., McEntee, M. L., Hovell, M. F., & Hooker, S. P. (2021) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2021.09.014 · Cited by 24
Innovative Designs and Logistical Considerations for Expedited Clinical Development of Combination Disease-Modifying Treatments for Type 1 Diabetes
Anderson, R. L., DiMeglio, L. A., Mander, A., Dayan, C. M., Linsley, P. S., Herold, K. C., Marinac, M., & Ahmed, S. T. (2022) · Diabetes Care · doi:10.2337/dc22-0308 · Cited by 24
Leveraging Mobile Technology in a School-Based Participatory Asthma Intervention: Findings From the Student Media-Based Asthma Research Team (SMART) Study
Warren, C. M., Dyer, A. A., Blumenstock, J. A., & Gupta, R. S. (2016) · American Journal of Health Education · doi:10.1080/19325037.2015.1133337 · Cited by 25
Personalizing and Optimizing Preventive Intervention Models via a Translational Neuroscience Framework
Fishbein, D. H., & Dariotis, J. K. (2017) · Prevention Science · doi:10.1007/s11121-017-0851-8 · Cited by 23
Temporal Pattern Detection to Predict Adverse Events in Critical Care: Case Study With Acute Kidney Injury
Morid, M. A., Sheng, O. R. L., Fiol, G. D., Facelli, J. C., Bray, B. E., & Abdelrahman, S. (2020) · JMIR Medical Informatics · doi:10.2196/14272 · Cited by 22
Comparing the Effects of Single‐ and Multiple‐Component Therapies for Insomnia on Sleep Outcomes
Sidani, S., Epstein, D. R., Fox, M. T., & Collins, L. J. (2019) · Worldviews on Evidence-Based Nursing · doi:10.1111/wvn.12367 · Cited by 25
Self-citation
Best marketing strategy selection using fractional factorial design with analytic hierarchy process
Al-Dawalibi, A., Aldali, I. H., & Alkhayyal, B. (2020) · MethodsX · doi:10.1016/j.mex.2020.100927 · Cited by 21
Colliding ideals – an interview study of how intervention researchers address adherence and adaptations in replication studies
von Thiele Schwarz, U., Förberg, U., Sundell, K., & Hasson, H. (2018) · BMC Medical Research Methodology · doi:10.1186/s12874-018-0496-8 · Cited by 20
Common components analysis: An adapted approach for evaluating programs
Morgan, N. R., Davis, K. D., Richardson, C. B., & Perkins, D. F. (2017) · Evaluation and Program Planning · doi:10.1016/j.evalprogplan.2017.10.009 · Cited by 20
Study protocol for a factorial-randomized controlled trial evaluating the implementation, costs, effectiveness, and sustainment of digital therapeutics for substance use disorder in primary care (DIGITS Trial)
Glass, J. E., Dorsey, C. N., Beatty, T. C., Bobb, J. F., Wong, E. S., Palazzo, L. G., King, D., Mogk, J. M., Stefanik-Guizlo, K., Idu, A., et al. (2023) · Implementation Science · doi:10.1186/s13012-022-01258-9 · Cited by 20
Comparative Effects of Physical Exercise and Other Behavioral Interventions on Functional Status Outcomes in Mild Cognitive Impairment
Shandera‐Ochsner, A. L., Chandler, M. J., Locke, D. E. C., Ball, C. T., Crook, J. E., Phatak, V. S., & Smith, G. E. (2021) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617721000485 · Cited by 19
Mailed feedback to primary care physicians on antibiotic prescribing for patients aged 65 years and older: pragmatic, factorial randomised controlled trial
Schwartz, K. L., Shuldiner, J., Langford, B. J., Brown, K. A., Schultz, S. E., Leung, V., Daneman, N., Tadrous, M., Witteman, H. O., Garber, G. E., et al. (2024) · BMJ · doi:10.1136/bmj-2024-079329 · Cited by 19
The Use of Mobile Applications for Managing Care Processes During Chemotherapy Treatments: A Systematic Review
Magalhães, B. M. B. D. S., Fernandes, C. S., Santos, C., & Martínez‐Galiano, J. M. (2020) · Cancer Nursing · doi:10.1097/ncc.0000000000000823 · Cited by 22
itMatters: Optimization of an online intervention to prevent sexually transmitted infections in college students
Wyrick, D. L., Tanner, A. E., Milroy, J. J., Guastaferro, K., Bhandari, S., Kugler, K. C., Thorpe, S. Y., Ware, S., Miller, A. M., & Collins, L. M. (2020) · Journal of American College Health · doi:10.1080/07448481.2020.1790571 · Cited by 20
Self-citation
Designing Interventions to Improve the Health of Women Using the ORBIT Model
Walker, L. O., & Czajkowski, S. M. (2019) · Journal of Obstetric, Gynecologic & Neonatal Nursing · doi:10.1016/j.jogn.2019.02.002 · Cited by 19
Guidance on selecting a translational framework for intervention development: Optimizing interventions for impact
Guastaferro, K., & Pfammatter, A. F. (2023) · Journal of Clinical and Translational Science · doi:10.1017/cts.2023.546 · Cited by 20
Bayesian strategy selection identifies optimal solutions to complex problems using an example from GP prescribing
Allender, S. E., Hayward, J., Gupta, S., Sanigorski, A. J., Rana, S., Seward, H. G., Jacobs, S., & Venkatesh, S. (2020) · npj Digital Medicine · doi:10.1038/s41746-019-0205-y · Cited by 18
Coupling Financial Incentives With Direct Mail in Population-Based Practice
Slater, J. S., Parks, M. J., Malone, M. E., Henly, G. A., & Nelson, C. L. (2016) · Health Education & Behavior · doi:10.1177/1090198116646714 · Cited by 18
Revision of the Wisconsin Smoking Withdrawal Scale: Development of brief and long forms.
Smith, S. S., Piper, M. E., Bolt, D. M., Kaye, J. T., Fiore, M. C., & Baker, T. B. (2021) · Psychological Assessment · doi:10.1037/pas0000978 · Cited by 17
Effects of Chatbot Components to Facilitate Mental Health Services Use in Individuals With Eating Disorders Following Online Screening: An Optimization Randomized Controlled Trial
Fitzsimmons‐Craft, E. E., Rackoff, G. N., Shah, J., Strayhorn, J. C., D’Adamo, L., DePietro, B., Howe, C. P., Firebaugh, M., Newman, M. G., Collins, L. M., et al. (2024) · International Journal of Eating Disorders · doi:10.1002/eat.24260 · Cited by 19
Self-citation
Connecting low-income smokers to tobacco treatment services
Slater, J. S., Nelson, C. L., Parks, M. J., & Ebbert, J. O. (2015) · Addictive Behaviors · doi:10.1016/j.addbeh.2015.10.013 · Cited by 18
Accounting for Complexity in Home Telemonitoring: A Need for Context-Centred Evidence
Ware, P., Seto, E., & Ross, H. J. (2018) · Canadian Journal of Cardiology · doi:10.1016/j.cjca.2018.01.022 · Cited by 18
Corrigendum to “Optimization of remotely delivered intensive lifestyle treatment for obesity using the Multiphase Optimization Strategy: Opt-IN study protocol” [Contemp. Clin. Trials 38 (2014) 251–259]
Pellegrini, C. A., Hoffman, S. A., Collins, L. M., & Spring, B. (2015) · Contemporary Clinical Trials · doi:10.1016/j.cct.2015.09.001 · Cited by 16
Self-citation
Digital Mental Health Interventions for the Prevention and Treatment of Social Anxiety Disorder in Children, Adolescents, and Young Adults: Systematic Review and Meta-Analysis of Randomized Controlled Trials
Walder, N., Frey, A., Berger, T., & Schmidt, S. J. (2025) · Journal of Medical Internet Research · doi:10.2196/67067 · Cited by 30
Randomization procedures for multicomponent behavioral intervention factorial trials in the multiphase optimization strategy framework: challenges and recommendations
Gallis, J. A., Bennett, G. G., Steinberg, D., Askew, S., & Turner, E. L. (2018) · Translational Behavioral Medicine · doi:10.1093/tbm/iby131 · Cited by 17

Authors: Collins, L. M., Dziak, J. J., Kugler, K. C., & Trail, J. B.
Affiliations: Pennsylvania State University (US)
Corresponding author: Collins, Linda M.
ORCID: Collins, Linda M.
Dziak, John J.
Kugler, Kari C.
Venue: American Journal of Preventive Medicine
Publisher: Elsevier BV
Published: 2014-10
Volume: 47
Issue: 4
Pages: 498-504
ISSN: 0749-3797 (ISSN-L)
DOI: 10.1016/j.amepre.2014.06.021
PMC: PMC4171184
OpenAlex: W106021680
Cited by: 335
References: 27
Citations by year: 2026: 29 · 2025: 24 · 2024: 33 · 2023: 35 · 2022: 27 · 2021: 36 · 2020: 53 · 2019: 31 · 2018: 26 · 2017: 21 · 2016: 10 · 2015: 10
FWCI: 17.17
Type: journal article
Language: en
Open access: green
www.ncbi.nlm.nih.gov
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations: American Journal of Preventive Medicine (publishedVersion)
PubMed (publishedVersion)
PubMed Central (acceptedVersion)
Funders: National Institute on Drug Abuse (P50DA010075)
National Cancer Institute (P50CA143188)
National Center for Advancing Translational Sciences (KL2TR000126)
National Institute of Diabetes and Digestive and Kidney Diseases (R01DK097364)
Topics: Social Sciences › Decision Sciences › Management Science and Operations Research › Optimal Experimental Design Methods
Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Clinical Trials
Physical Sciences › Mathematics › Statistics and Probability › Advanced Causal Inference Techniques
Keywords: factorial design, multicomponent intervention, intervention components, interaction effects, statistical power, resource management, experimental design, randomized controlled trials
MeSH terms: Humans, Preventive Health Services, Preventive Medicine, Research Design, Randomized Controlled Trials as Topic

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

Factorial Experiments

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