TABLE IV.

Relative Risk of Discharge Characterization with Homelessness (N = 6837)^a

	Homelessness sample (n = 6837)
	NSS				AAS/PPDS				Total
	Prevalence		(n = 3344)		Prevalence		(n = 3493)		Prevalence		(n = 6837)
	%	(SE)	RR	(95% CI)	%	(SE)	RR	(95% CI)	%	(SE)	RR	(95% CI)
Homelessness predicted riskb	–	–	4.1*	(3.1-5.4)	–	–	5.1*	(3.4-7.6)	–	–	5.4*	(3.9-7.4)
Discharge characterization
Honorable	2.9	(0.5)	1.0	–	2.6	(0.4)	1.0	–	2.7	(0.3)	1.0	–
General	7.6	(2.0)	1.5	(0.8-3.1)	7.9	(2.4)	1.1	(0.5-2.4)	7.7	(1.5)	1.4	(0.8-2.3)
Uncharacterized	4.8	(0.9)	1.3	(0.8-2.3)	0.0	(0.0)	0.0	(0.0-0.0)	4.6	(0.9)	1.4	(0.9-2.3)
Bad paperc	26.1	(10.9)	4.2*	(2.0-8.6)	17.3	(13.2)	4.8*	(1.3-17.9)	23.9	(8.7)	4.4*	(2.3-8.3)
Missing—RA	1.9	(0.7)	0.8	(0.4-1.5)	1.5	(0.4)	0.7	(0.3-1.3)	1.7	(0.4)	0.7	(0.4-1.1)
Missing—GR	2.0	(0.3)	1.0	(0.6-1.6)	1.4	(0.4)	1.1	(0.5-2.1)	1.9	(0.2)	1.1	(0.8-1.5)
F 3,2,3	–	–	4.9*	0.003	–	–	2.7	0.07	–	–	11.7*	<0.001
Total	3.2	(0.3)			2.7	(0.3)			2.9	(0.2)

Estimates reflect weighted data.

Abbreviations: NSS = New Soldier Study; AAS = All Army Study; PPDS = Pre-Post Deployment Study; RR = Relative Risk; CI = Confidence Interval; RA = Regular Army; GR = Guard/Reserve.

^*Significant at the 0.05 level, two-sided test.

^aRelative Risk estimates were computed from survey-design based modified Poisson regression models with robust variance estimates.

^bHomelessness predicted risk was computed from the predicted probability of homelessness based on a previously developed machine learning model using information available during active duty, including the demographic and Army career characteristics presented in Table I. The predicted probability was standardized to a mean equal to zero and SD equal to 1 to convert to a predicted risk score.

^cIncludes the following discharge characterizations: other than honorable, bad conduct, and dishonorable.