Table 3 –

Stepwise Regression Model Results from Demographic, Health, and Overall Models with Leave-One-Out Cross Validation. NA indicates independent factors not selected in >5% of iterations in leave-one-out procedure.

		Stepwise Regression Model Results					LOO Stepwise Regression Model
		Est.	Std. Error	tStat	pValue	Adj. R2 (P-value)	T	% iterations
Demographic Model	(Intercept)	−10.2	11.0	−0.9	.36	.15 (<.00001)
	WAIS Matrices score	1.2	0.4	2.9	.005**		2.9	100%
	Time Post-Stroke(mos)	5.4	1.6	3.3	.001**		3.3	100%
	Age at Stroke(yrs)	−0.3	0.1	−2.3	.02*		−2.3	99.3%
Health	(Intercept)	14.9	4.1	3.6	.0004	.11 (.0004)
Model	Total Fazekas	−4.2	1.1	−3.7	.0004**		−3.7	100%
Overall Model	(Intercept)	−3.8	12.6	−0.3	.76	.27 (<.00001)
	WAIS Matrices score	1.1	0.5	2.5	.01*		2.5	100%
	Time Post-Stroke(mos)	6.1	1.9	3.2	.001**		3.2	100%
	Age at Stroke(yrs)	−0.3	0.2	−1.9	.057		−2.1	96.2%
	Total Fazekas	−3.0	1.1	−2.6	.01*		−2.6	100%

^*p < .05;

^**p < .01.