{"id":414,"date":"2026-07-23T11:21:56","date_gmt":"2026-07-23T15:21:56","guid":{"rendered":"https:\/\/sites.bu.edu\/opad\/?page_id=414"},"modified":"2026-08-11T13:34:09","modified_gmt":"2026-08-11T17:34:09","slug":"selected-publications","status":"publish","type":"page","link":"https:\/\/sites.bu.edu\/opad\/selected-publications\/","title":{"rendered":"Selected Publications"},"content":{"rendered":"<p><span><div class=\"bu_collapsible_container  bu_collapsible_open\" aria-live=\"polite\" data-customize-animation=\"false\"><h3 class=\"bu_collapsible\" aria-expanded=\"false\"tabindex=\"0\" role=\"button\"><strong>Transdiagnostic Risk &amp; Course<\/strong><\/h3><div class=\"bu_collapsible_section\" ><\/span><br \/>\nSlimovitch, R., Flesaker, M., <strong>Rosellini, A. J.<\/strong>, &amp; Gradus, J. L. (2025). Suicide loss and its impact on mortality, mental, physical, and social health outcomes: a systematic review of registry-based studies. <em>Harvard Reviews Psychiatry, 34, <\/em>159-171<em>. <\/em><a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/42108943\/\">PubMed<\/a><\/p>\n<p style=\"text-align: justify;\">Yamin, N., Brown, T. A., &amp; <strong>Rosellini, A. J.<\/strong> (2023). Longitudinal associations of chronic health stress and COVID-19 related anxiety among outpatients with anxiety and mood disorders. <em>Clinical Psychology &amp; Psychotherapy, 30,<\/em> 1020-1028. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/37073862\/\">PubMed<\/a><\/p>\n<p style=\"text-align: justify;\">Gradus, J. L., <strong>Rosellini, A. J.<\/strong>, Szentk\u00fati, P., Horv\u00e1th-Puh\u00f3, E., Smith, M. L., Galatzer-Levy, I., Lash, T. L., Galea, S., Schnurr, P. P., S\u00f8rensen, H. T. (2022). Using Danish national registry data to understand psychopathology following traumatic experiences in a population. <em>Journal of Traumatic Stress, 35<\/em>, 619-630. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/35084778\/\">PubMed<\/a><\/p>\n<p style=\"text-align: justify;\">Anderson, G. N., Tung, E. S., Brown, T. A., &amp; <strong>Rosellini, A. J.<\/strong> (2021). Facets of emotion regulation and emotional disorder symptom dimensions: Differential associations and incremental validity in a large clinical sample. <em>Behavior Therapy, 52<\/em>, 917-931. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/34134831\/\">PubMed<\/a><\/p>\n<p style=\"text-align: justify;\"><span><strong>Rosellini, A. J.<\/strong>, &amp; Brown, T. A. (2011). The NEO-Five Factor Inventory: Latent structure and relationships with dimensions of anxiety and depressive disorders in a large clinical sample.<em> Assessment, 18, <\/em>27-38.\u00a0<a href=\"https:\/\/www.ncbi.nlm.nih.gov\/pubmed\/?term=The+NEO-Five+Factor+Inventory%3A+Latent+structure+and+relationships+with+dimensions+of+anxiety+and+depressive+disorders+in+a+large+clinical+sample\">PubMed<\/a><\/span><\/p>\n<p style=\"text-align: justify;\"><span>Brown, T.A., &amp; <strong>Rosellini, A. J.<\/strong> (2011). The direct and interactive effects of neuroticism and life stress on the severity and longitudinal course of depressive symptoms.\u00a0<\/span><i>Journal of Abnormal Psychology<\/i><span>,\u00a0<\/span><i>120<\/i><span>, 844-856. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/21381799\/\">PubMed<\/a><\/span><\/p>\n<p style=\"text-align: justify;\"><strong>Rosellini, A. J.<\/strong>, Lawrence, A. E., Meyer, J. F., &amp; Brown, T. A. (2010). The effects of extraverted temperament on agoraphobia in panic disorder.<em> Journal of Abnormal Psychology, 119, <\/em>420-426.\u00a0<a href=\"https:\/\/www.ncbi.nlm.nih.gov\/pubmed\/?term=The+effects+of+extraverted+temperament+on+agoraphobia+in+panic+disorder.+Journal+of+Abnormal+Psychology%2C+119%2C+420-426.\">PubMed<\/a><\/p>\n<p><\/div>\n<\/div>\n<\/p>\n<p>&nbsp;<\/p>\n<div class=\"bu_collapsible_container \" aria-live=\"polite\" data-customize-animation=\"false\"><h3 class=\"bu_collapsible\" aria-expanded=\"false\"tabindex=\"0\" role=\"button\"><strong>Prediction <\/strong><strong>&amp; Machine Learning<\/strong><\/h3><div class=\"bu_collapsible_section\" style=\"display: none;\"><\/p>\n<p style=\"text-align: left;\">Rubenstein, E., Tewolde, S., Michals, A., Fortea, J., Pescador Jimenez, M., Skotko, B., Tripodis, Y., Weuve, J., &amp; <strong>Rosellini, A. J.<\/strong> (2025). Novel predictors of Alzehimer&#8217;s Disease in Down Syndrome identified using machine learning. <em>Journal of Alzheimer\u2019s Disease, 108, <\/em>1166-1176. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/41105592\/\">PubMed<\/a><\/p>\n<p style=\"text-align: left;\"><strong>Rosellini, A. J.<\/strong>, Andrea, A. M., Galiano, C. S., Hwang, I., Brown, T. A., Luedtke, A., &amp; Kessler, R. C. (2023). Developing transdiagnostic internalizing disorder prognostic indices for outpatient cognitive behavioral therapy. <em>Behavior Therapy, 54<\/em>, 461-475<em>. <\/em><a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/37088504\/\">PubMed<\/a><\/p>\n<p>Borowski, S., <strong>Rosellini, A. J.<\/strong>, Street, A. E., Gradus, J. L., &amp; Vogt, D. (2022). The first year after military service: Predictors of U.S. Veterans&#8217; suicidal ideation.<em> American Journal of Preventive Medicine, 63, <\/em>233-241. +VHA Suicide Prevention Program \u201cTop 20 Picks\u201d of 2022 (out of ~800 suicide-related papers) <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/35527173\/\">PubMed<\/a><\/p>\n<p style=\"text-align: left;\"><strong>Rosellini, A. J.<\/strong>, Liu, S., Anderson, G. N., Sbi, S., Tung, E., Knyazhanskaya, E. (2020). Developing algorithms to predict adult onset internalizing disorders: An ensemble learning approach. <em>Journal of Psychiatric Research, <i><span>121<\/span><\/i><span>, 189-196.<\/span><\/em>\u00a0<a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/31864158\/\">PubMed<\/a><\/p>\n<p style=\"text-align: left;\">Jiang, T., Gradus, J. L., &amp; <strong>Rosellini, A. J.<\/strong> (2020). Supervised machine learning: A brief primer. <em>Behavior <\/em><em>Therapy,\u00a0<\/em><em>51<\/em>, 675-687. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/32800297\/\">PubMed<\/a><\/p>\n<p style=\"text-align: left;\">Gradus, J. L., <strong>Rosellini, A. J.<\/strong>, Horv\u00e1th-Puh\u00f3, E., Street, A. E., Galatzer-Levy, I., Jiang, T., Lash, T. L., &amp; S\u00f8rensen, H. T. (2019). Prediction of sex-specific suicide risk using machine learning\u00a0and single-payer health care registry data from Denmark. <em>JAMA Psychiatry, 77<\/em>, 25-34. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/31642880\/\">PubMed<\/a><\/p>\n<p style=\"text-align: left;\"><strong>Rosellini, A. J.<\/strong>, Dussaillant, F., Zubizarreta, J. R., Kessler, R. C., &amp; Rose, S. (2018). Predicting posttraumatic stress disorder following a natural disaster. <em>Journal of Psychiatric Research,\u00a0<\/em>96, 15-22.\u00a0<a href=\"https:\/\/www.ncbi.nlm.nih.gov\/pubmed\/28950110\">PubMed;\u00a0<\/a><span><a href=\"https:\/\/www.psychologytoday.com\/articles\/201801\/predicting-the-aftershock\">Media Coverage<\/a><\/span><\/p>\n<p><strong>Rosellini, A. J. <\/strong>(2018). Using machine learning methods to predict internalizing psychopathology risk and prognosis. <em>The Clinical Psychologist, 71<\/em>, 5-13.<\/p>\n<p><\/div>\n<\/div>\n\n<p>&nbsp;<\/p>\n<div class=\"bu_collapsible_container \" aria-live=\"polite\" data-customize-animation=\"false\"><h3 class=\"bu_collapsible\" aria-expanded=\"false\"tabindex=\"0\" role=\"button\"><strong>Measurement &amp; Classification<\/strong><\/h3><div class=\"bu_collapsible_section\" style=\"display: none;\"><\/p>\n<p>Galiano, C. S., Andrea A. M., Tung, E. S., Brown, T. A., &amp; <strong>Rosellini, A. J.<\/strong> (2024). Psychometric properties of the Distress Tolerance Scale in a clinical sample. <em>Psychological Assessment, 36, <\/em>192-199. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/38206840\/\">PubMed<\/a><\/p>\n<p>Andrea A. M., Galiano, C. S., Brown, T. A., &amp; <strong>Rosellini, A. J.<\/strong> (2024). Psychometric evaluation of the Emotion Regulation Questionnaire in a clinical sample. <em>Journal of Psychopathology and Behavioral Assessment, 46<\/em>, 1-9. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/41607397\/\">PubMed<\/a><\/p>\n<p>Osma, J., Martinez-Loredo, V., Quilez-Orden, A., Peris-Baquero, O., Ferreres-Galan, V., Prado-Abril, J., Torres-Alfosea, M. A., &amp; <strong>Rosellini, A. J.<\/strong> (2023). Multidimensional Emotional Disorders Inventory: Reliability and validity in a Spanish clinical sample. <em>Journal of Affective Disorders, 320<\/em>, 65-73. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/36183816\/\">PubMed<\/a><\/p>\n<p>Hilton, B. T., Yusufov, M., <strong>Rosellini, A. J.<\/strong>, Taghian, N. R., Weiss, R. D., Griffin, M. L., &amp; McHugh, R. K. (2022). Psychometric properties of the Anxiety Sensitivity Index-3 in adults with substance use disorders. <em>Journal of Substance Abuse Treatment, 132<\/em>, 108507 (Epub). <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/34214925\/\">PubMed<\/a><\/p>\n<p><strong>Rosellini, A. J.<\/strong>, &amp; Brown, T. A. (2021). Developing and validating clinical questionnaires. <em>Annual Review of Clinical Psychology, 17, <\/em>55-81. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/33561365\/\">PubMed<\/a><\/p>\n<p><strong>Rosellini, A. J.<\/strong>, &amp; Brown, T. A. (2019). The Multidimensional Emotional Disorder Inventory (MEDI): Assessing transdiagnostic dimensions to validate a profile approach to emotional disorder classification. <em>Psychological Assessment, 31<\/em>, 59-72.\u00a0<em> <\/em><a href=\"https:\/\/www.ncbi.nlm.nih.gov\/pubmed\/30160498\">PubMed<\/a><\/p>\n<p><strong>Rosellini, A. J.<\/strong>, &amp; Brown, T. A. (2014). Initial interpretation and evaluation of a profile-based classification system for the anxiety and mood disorders: Incremental validity compared to <em>DSM-IV<\/em> categories. <em>Psychological Assessment, 26<\/em>, 1212-1224.\u00a0<a href=\"https:\/\/www.ncbi.nlm.nih.gov\/pubmed\/?term=Initial+interpretation+and+evaluation+of+a+profile-based+classification+system+for+the+anxiety+and+mood+disorders%3A+Incremental+validity+compared+to+DSM-IV+categories\">PubMed<\/a><\/p>\n<p><strong>Rosellini, A. J.<\/strong>, &amp; Brown, T. A. (2011). The NEO-Five Factor Inventory: Latent structure and relationships with dimensions of anxiety and depressive disorders in a large clinical sample.<em> Assessment, 18, <\/em>27-38.\u00a0<a href=\"https:\/\/www.ncbi.nlm.nih.gov\/pubmed\/?term=The+NEO-Five+Factor+Inventory%3A+Latent+structure+and+relationships+with+dimensions+of+anxiety+and+depressive+disorders+in+a+large+clinical+sample\">PubMed<\/a><\/p>\n<p><\/div>\n<\/div>\n\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>&nbsp; &nbsp; &nbsp;<\/p>\n","protected":false},"author":12940,"featured_media":0,"parent":0,"menu_order":12,"comment_status":"closed","ping_status":"closed","template":"","meta":[],"_links":{"self":[{"href":"https:\/\/sites.bu.edu\/opad\/wp-json\/wp\/v2\/pages\/414"}],"collection":[{"href":"https:\/\/sites.bu.edu\/opad\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/sites.bu.edu\/opad\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/sites.bu.edu\/opad\/wp-json\/wp\/v2\/users\/12940"}],"replies":[{"embeddable":true,"href":"https:\/\/sites.bu.edu\/opad\/wp-json\/wp\/v2\/comments?post=414"}],"version-history":[{"count":41,"href":"https:\/\/sites.bu.edu\/opad\/wp-json\/wp\/v2\/pages\/414\/revisions"}],"predecessor-version":[{"id":530,"href":"https:\/\/sites.bu.edu\/opad\/wp-json\/wp\/v2\/pages\/414\/revisions\/530"}],"wp:attachment":[{"href":"https:\/\/sites.bu.edu\/opad\/wp-json\/wp\/v2\/media?parent=414"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}