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Journal Article

Citation

Hoyt T, Holtz P. Parameters 2020; 50(4): 7-19.

Copyright

(Copyright © 2020, US Army War College)

DOI

unavailable

PMID

unavailable

Abstract

Statistics behind reported suicide rates in the military are often insufficiently analyzed and portray a distorted picture of reality. Several models for identifying individuals at risk for suicide have been proposed but few show adequate predictive power to be actionable. Instead, a collaborative and consistent effort to address core drivers at the individual level may be more useful. © 2020, United States Army War College. All rights reserved.


Language: en

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