Identifying candidates for targeted gait rehabilitation after stroke: better prediction through biomechanics-informed characterization

Table 3 Moderated regression models predicting changes in walking speed

Models		Predictor Statistics
Outcome	Statistics	Predictors	b	B	p
∆UWS	R ² = 0.61 F(3, 21) = 11.15 P = 0.000	Constant	0.21		0.000
∆UWS	R ² = 0.61 F(3, 21) = 11.15 P = 0.000	prop_baseline UWS_baseline UWS_baseline × prop_baseline	−0.60 4.27 −5.48	−1.09 1.21 −0.72	0.000 0.001 0.001
∆MWS	R ² = 0.49 F(3,21) = 6.69 P = 0.002	Constant	0.26		0.000
∆MWS	R ² = 0.49 F(3,21) = 6.69 P = 0.002	prop_baseline MWS_baseline MWS_baseline × prop_baseline	−0.27 3.59 −4.44	−0.69 1.11 −0.61	0.007 0.000 0.004

Regression models predicting posttraining changes in usual (UWS) and maximum (MWS) walking speeds

ISSN: 1743-0003