Table 3.

Mixed Linear Model Regression results for the primary (Motor Activity Log-14 Item Version Amount of Use Subscale (MAL-14 AOU)) and secondary outcomes (MAL-14 Quality of Movement subscale (MAL-14 QOM), sensor data) for the subset of the study population (n = 23). Logarithmic transformation was applied to the predictor variables (AAU, AUR, PTA). Intervention group = 1, control group = 0, mild impairment = 1, moderate impairment = 2, severe impairment = 3. Bold numbers indicate a significant predictor

Mixed Linear Model Regression
		Coefficient	Standard Error	P-Value	95% Confidence interval		Model performance (R2)
Sensor Data
	Affected Arm Use						0.98
	Intercept	8.12	0.37	< 0.01	7.44	8.90
	Week	-0.04	0.01	< 0.01	-0.05	-0.02
	Group	0.55	0.26	< 0.05	0.04	1.06
	Initial Impairment Level	0.71	0.16	< 0.01	-1.04	-0.40
	Arm Use Ratio						0.92
	Intercept	-0.41	0.33	0.30	-1.05	0.24
	Week	0.001	0.01	0.99	-0.02	0.02
	Group	-0.37	0.23	0.19	-0.82	0.08
	Initial Impairment Level	0.90	0.15	< 0.01	0.62	1.18
	Percentage of Time Active						0.90
	Intercept	3.68	0.21	< 0.01	3.27	4.08
	Week	0.02	3.55	< 0.01	0.01	0.03
	Group	-0.03	-1.55	0.20	-0.51	0.06
	Initial Impairment Level	0.11	2.44	< 0.05	0.04	0.40
Motor Activity Log − 14
	Amount of Use						0.97
	Intercept	3.01	0.57	< 0.01	1.95	4.20
	Timepoint	0.09	0.04	< 0.05	0.03	0.16
	Group	0.35	0.40	0.38	-0.43	1.13
	Initial Impairment Level	-0.71	0.24	< 0.01	-1.18	-0.23
	Quality of Movement						0.95
	Intercept	3.02	0.42	< 0.01	2.20	3.85
	Timepoint	0.10	0.04	< 0.05	0.03	0.17
	Group	0.15	0.29	0.65	-0.42	0.72
	Initial Impairment Level	-0.79	0.18	< 0.01	-1.14	-0.44