Ross Jacobucci
Affiliations: | 2013- | Psychology | University of Southern California, Los Angeles, CA, United States |
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| Ammerman BA, Burke TA, Jacobucci R, et al. (2020) Preliminary investigation of the association between COVID-19 and suicidal thoughts and behaviors in the U.S. Journal of Psychiatric Research. 134: 32-38 |
| Nelson NA, Jacobucci R, Grimm KJ, et al. (2020) The bidirectional relationship between physical health and memory. Psychology and Aging |
| Jacobucci R, Grimm KJ. (2020) Machine Learning and Psychological Research: The Unexplored Effect of Measurement. Perspectives On Psychological Science : a Journal of the Association For Psychological Science. 15: 809-816 |
| Grimm KJ, Jacobucci R. (2020) Reliable Trees: Reliability Informed Recursive Partitioning for Psychological Data. Multivariate Behavioral Research. 1-13 |
| Burke TA, Jacobucci R, Ammerman BA, et al. (2020) Using machine learning to classify suicide attempt history among youth in medical care settings. Journal of Affective Disorders. 268: 206-214 |
| Nelson NA, Bergeman CS, Jacobucci R. (2019) Future Time Perspective in Mid-to-Later Life: The Role of Personality. The Journals of Gerontology. Series B, Psychological Sciences and Social Sciences |
| Ammmerman BA, Hong M, Sorgi K, et al. (2019) An examination of individual forms of nonsuicidal self-injury. Psychiatry Research. 278: 268-274 |
| Serang S, Jacobucci R. (2019) Exploratory Mediation Analysis of Dichotomous Outcomes via Regularization. Multivariate Behavioral Research. 1-18 |
| Ammerman BA, Jacobucci R, McCloskey MS. (2019) Reconsidering important outcomes of the nonsuicidal self-injury disorder diagnostic criterion A. Journal of Clinical Psychology |
| Burke TA, Ammerman BA, 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 |