Linda Collins, Ph.D.

Recent Publications

Collins, L. M., & Kugler, K. C. (in press). Optimization of behavioral, biobehavioral, and biomedical interventions: Advanced topics. New York, NY: Springer.
Collins, L. M. (2018). Optimization of behavioral, biobehavioral, and biomedical interventions: The multiphase optimization strategy (MOST). New York, NY: Springer.
Piper, M. E., Cook, J. W., Schlam, T. R., Jorenby, D. E., Smith, S. S., Collins, L. M., et al. (2018). A randomized controlled trial of an optimized smoking treatment delivered in primary care. Annals Of Behavioral Medicine. http://doi.org/10.1093/abm/kax059
Phillips, S. M., Collins, L. M., Penedo, F. J., Courneya, K. S., Welch, W., Cottrell, A., et al. (2018). Optimization of a technology-supported physical activity intervention for breast cancer survivors: Fit2Thrive study protocol. Contemporary Clinical Trials, 66, 9-19. http://doi.org/10.1016/j.cct.2018.01.001
Bernstein, S. L., Dziura, J., Weiss, J., Miller, T., Vickerman, K. A., Grau, L. E., et al. (2017). Tobacco dependence treatment in the emergency department: A randomized trial using the Multiphase Optimization Strategy. Contemporary Clinical Trials, 66, 1-8. http://doi.org/10.1016/j.cct.2017.12.016
Gwadz, M. V., Collins, L. M., Cleland, C. M., Leonard, N. R., Wilton, L., Gandhi, M., et al. (2017). Using the multiphase optimization strategy (MOST) to optimize an HIV care continuum intervention for vulnerable populations: a study protocol. Bmc Public Health, 17(1). http://doi.org/10.1186/s12889-017-4279-7
Piper, M. E., Cook, J. W., Schlam, T. R., Smith, S. S., Bolt, D. M., Collins, L. M., et al. (2017). Toward precision smoking cessation treatment II: Proximal effects of smoking cessation intervention components on putative mechanisms of action. Drug And Alcohol Dependence, 171, 50-58. http://doi.org/10.1016/j.drugalcdep.2016.11.027
Piper, M. E., Schlam, T. R., Cook, J. W., Smith, S. S., Bolt, D. M., Loh, W. - Y., et al. (2017). Toward precision smoking cessation treatment I: Moderator results from a factorial experiment. Drug And Alcohol Dependence, 171, 59 - 65. http://doi.org/10.1016/j.drugalcdep.2016.11.025
Baker, T. B., Smith, S. S., Bolt, D. M., Loh, W. - Y., Mermelstein, R., Fiore, M. C., et al. (2017). Implementing clinical research using factorial designs: A primer. Behavior Therapy, 48(4), 567-580. http://doi.org/10.1016/j.beth.2016.12.005
Huffman, J. C., Albanese, A. M., Campbell, K. A., Celano, C. M., Millstein, R. A., Mastromauro, C. A., et al. (2017). The Positive Emotions after Acute Coronary Events (PEACE) behavioral health intervention: Design, rationale, and preliminary feasibility of a factorial design study. Clinical Trials, 14(2), 128-139. http://doi.org/10.1177/1740774516673365
Nahum-Shani, I., Dziak, J. J., & Collins, L. M. (2017). Multi-level factorial designs with experimentation-induced clustering. Psychological Methods. http://doi.org/10.1037/met0000128
Brown, C. H., Curran, G., Palinkas, L. A., Aarons, G., Wells, K. B., Jones, L., et al. (2017). An overview of research and evaluation designs for implementation designs for dissemination and implementation. American Review Of Public Health, 38, 1-22. http://doi.org/10.1146/annurev-publhealth-031816-044215
Watkins, E., Newbold, A., Tester-Jones, M., Javaid, M., Cadman, J., Collins, L. M., et al. (2016). 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. Bmc Psychiatry, 16, 345. http://doi.org/10.1186/s12888-016-1054-8
Murray, E., Hekler, E. B., Andersson, G., Collins, L. M., Doherty, A., Hollis, C., et al. (2016). Evaluating digital health interventions. American Journal Of Preventive Medicine, 51(5), 843 - 851. http://doi.org/10.1016/j.amepre.2016.06.008
Hekler, E. B., Michie, S., Pavel, M., Rivera, D. E., Collins, L. M., Jimison, H. B., et al. (2016). Advancing models and theories for digital behavior change interventions. American Journal Of Preventive Medicine, 51(5), 825 - 832. http://doi.org/10.1016/j.amepre.2016.06.013