top of page

Selected Publications

Use the menu on the left to sort our publications by topic!



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., & 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]

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.          [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.          [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.          [PDF]

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.          [PDF]

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.          [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.          [PDF]

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.          [PDF]

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.       [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.          [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.          [PDF]

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.          [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.          [PDF]

bottom of page