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Selected Publications
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Key:
Names of lab PIs are bolded black.
Names of interns and post-docs are bolded dark blue.
Names of clinical research coordinators and other research assistants are bolded light blue.
Kleiman, E. M., Glenn, C. R., Auad, E. C., Krall, H. R., Luce, A. J., Steinberg, D. R., Edershile, E. A., Liu, R. T. (in press). A simple way to gamify ecological momentary assessment studies and improve survey adherence with adolescents: The Emoji Game. Psychological Assessment.
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Kleiman, E. M., Glenn, C. R., & Liu, R. T. (2023). The use of advanced technology and statistical methods to understand, predict, and prevent suicide. Nature Reviews Psychology, 2, 347-359. doi:10.1038/s44159-023-00175-y [PDF]
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Bettis, A. H., Burke, T. A., Nesi, J., & Liu, R. T. (2022). Digital technologies for emotion-regulation assessment and intervention: A conceptual review. Clinical Psychological Science, 10, 3–26. https://doi.org/10.1177/21677026211011982 [PDF]
Burke, T. A., Shao, S., Jacobucci, R., Kautz, M., Alloy, L. B., & Ammerman, B. A. (2022). Examining momentary associations between behavioral approach system indices and nonsuicidal self-injury urges. Journal of Affective Disorders, 296, 244–249. https://doi.org/10.1016/j.jad.2021.09.029 [PDF]
Glenn, C. R., Kleiman, E. M., Kandlur, R., Esposito, E. C., & Liu, R. T. (2022). Thwarted belongingness mediates interpersonal stress and suicidal thoughts: An intensive longitudinal study with high-risk adolescents. Journal of Clinical Child and Adolescent Psychology, 51, 295–311. https://doi.org/10.1080/15374416.2021.1969654 [PDF]
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Burke, T. A., Allen, K., Carpenter, R. W., Siegel, D. M., Kautz, M. M., Liu, R. T., & Alloy, L. B. (2021). Emotional response inhibition to self-harm stimuli interacts with momentary negative affect to predict nonsuicidal self-injury urges. Behaviour Research and Therapy, 142, 103865. https://doi.org/10.1016/j.brat.2021.103865 [PDF]
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Burke, T. A., Fox, K., Kautz, M. M., Rodriguez-Seijas, C., Bettis, A. H., & Alloy, L. B. (2021). Self-critical and self-punishment cognitions differentiate those with and without a history of nonsuicidal self-injury: An ecological momentary assessment study. Behavior Therapy, 52, 686–697. https://doi.org/10.1016/j.beth.2020.08.006 [PDF]
Burke, T. A., Fox, K., Kautz, M., Siegel, D. M., Kleiman, E., & Alloy, L. B. (2021). Real-time monitoring of the associations between self-critical and self-punishment cognitions and nonsuicidal self-injury. Behaviour Research and Therapy, 137, 103775. https://doi.org/10.1016/j.brat.2020.103775 [PDF]
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Nesi, J., Burke, T. A., Bettis, A. H., Kudinova, A. Y., Thompson, E. C., MacPherson, H. A., Fox, K. A., Lawrence, H. R.... & Liu, R. T. (2021). Social media use and self-injurious thoughts and behaviors: A systematic review and meta-analysis. Clinical Psychology Review, 87, 102038. https://doi.org/10.1016/j.cpr.2021.102038 [PDF]
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Burke, T. A., Jacobucci, R., Ammerman, B. A., Alloy, L. B., & Diamond, G. (2020). Using machine learning to classify suicide attempt history among youth in medical care settings. Journal of Affective Disorders, 268, 206–214. https://doi.org/10.1016/j.jad.2020.02.048 [PDF]
Burke, T. A., Nesi, J., Domoff, S. E., Romanowicz, M., & Croarkin, P. E. (2020). Titrating Social Media Use During Adolescent Inpatient Psychiatric Hospitalization. Journal of the American Academy of Child and Adolescent Psychiatry, 59, 1007–1009. https://doi.org/10.1016/j.jaac.2020.06.008 [PDF]
Burke, T. A., Ammerman, B. A., & Jacobucci, R. (2019). The use of machine learning in the study of suicidal and non-suicidal self-injurious thoughts and behaviors: A systematic review. Journal of Affective Disorders, 245, 869–884. https://doi.org/10.1016/j.jad.2018.11.073 [PDF]
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Kleiman, E. M., Glenn, C. R., & Liu, R. T. (2019). Real-time monitoring of suicide risk among adolescents: Potential barriers, possible solutions, and future directions. Journal of Clinical Child and Adolescent Psychology, 48, 934–946. https://doi.org/10.1080/15374416.2019.1666400 [PDF]
Burke, T. A., Jacobucci, R., Ammerman, B. A., Piccirillo, M., McCloskey, M. S., Heimberg, R. G., & Alloy, L. B. (2018). Identifying the relative importance of non-suicidal self-injury features in classifying suicidal ideation, plans, and behavior using exploratory data mining. Psychiatry Research, 262, 175–183. https://doi.org/10.1016/j.psychres.2018.01.045 [PDF]