| |
Simple model
|
Elaborate model
|
|---|
| |
Parameter
|
P-value
|
Parameter
|
P-value
|
|
Intercept
|
−1.4004
| |
−0.3828
| |
|
mRS 1
|
0.3089
|
<.0001
|
0.2890
|
<.0001
|
|
mRS 2
|
0.6403
|
0.6357
|
|
mRS 3
|
0.9596
|
0.9529
|
|
mRS 4
|
1.2250
|
1.2232
|
|
mRS 5
|
1.3705
|
1.3874
|
|
Dependency on caregivers
|
0.2298
|
0.0006
|
0.2180
|
0.0012
|
|
TGP
|
−0.0010
|
0.6642
|
−0.0305
|
0.0234
|
|
FGA
|
− 0.0096
|
<.0001
|
− 0.0095
|
<.0001
|
|
Age
| | |
−0.0146
|
0.017
|
|
Female
| | |
0.0842
|
0.0368
|
|
Age*TGP
| | |
0.0004
|
0.029
|
- To generate predicted values based on this regression model: e.g. for a patient with mRS 3 who is dependent on daily help from others, has average tenacity (=TGP score 31.3), and high flexibility (=FGA score 44.6): utility value = 1-exp(−1.4004 + 0.9596 + 0.2298–0.0010*31.3–0.0096*44.6) = 0.488
