A machine learning analysis of risk and protective factors of suicidal thoughts and behaviors in college students.
Namik KirlicElisabeth AkemanDanielle C DeVilleHung-Wen YehKelly T CosgroveTimothy J McDermottJames TouthangAshley ClausenMartin P PaulusRobin L AupperlePublished in: Journal of American college health : J of ACH (2021)
Analyses replicated known factors associated with STBs during the first semester of college and identified novel, potentially modifiable factors including positive affect and social connectedness.