Ontology highlight
ABSTRACT:
SUBMITTER: Street AE
PROVIDER: S-EPMC5279920 | biostudies-literature | 2016
REPOSITORIES: biostudies-literature
Street Amy E AE Rosellini Anthony J AJ Ursano Robert J RJ Heeringa Steven G SG Hill Eric D ED Monahan John J Naifeh James A JA Petukhova Maria V MV Reis Ben Y BY Sampson Nancy A NA Bliese Paul D PD Stein Murray B MB Zaslavsky Alan M AM Kessler Ronald C RC
Clinical psychological science : a journal of the Association for Psychological Science 20160729 6
Sexual violence victimization is a significant problem among female U.S. military personnel. Preventive interventions for high-risk individuals might reduce prevalence, but would require accurate targeting. We attempted to develop a targeting model for female Regular U.S. Army soldiers based on theoretically-guided predictors abstracted from administrative data records. As administrative reports of sexual assault victimization are known to be incomplete, parallel machine learning models were dev ...[more]