Table 3.
Estimation sample | Validation sample | p-valueb | Effect sizec | |
---|---|---|---|---|
Model building n = 17,101 | Capacity checking n = 15,447 | |||
Sex, n (%) | ||||
Men | 7874 (46.0) | 7009 (45.4) | 0.226 | |
Women | 9227 (54.0) | 8438 (54.6) | ||
Self- rated health, n (%) | ||||
Very good | 3048 (18.3) | 2693 18.0) | 0.932 | |
Good | 8191 (49.2) | 7401 (49.6) | ||
Neither nor | 4354 (26.2) | 3901 (26.1) | ||
Bad | 893 (5.4) | 782 (5.2) | ||
Very bad | 159 (1.0) | 147 (1.0) | ||
Age, Mean (SD) | 55.44 (19.44) | 55.48 (18.52) | 0.871 | |
EQ-5D-UK, Mean (SD) | 0.80 (0.22) | 0.80 (0.22) | 0.985 | 0.00 |
EQ-5D-SW, Mean (SD) | 0.90 (0.09) | 0.90 (0.09) | 0.184 | −0.01 |
GHQ-12, Mean (SD) | 1.14 (2.46) | 1.05 (2.38) | 0.001 | 0.04 |
aSelf-rated health 3.0 % missing, EQ-5D-UK 8.0 % missing, EQ-5D-SW 8.0 % missing, GHQ-12 3.1 % missing
bPearson Chi-square test for categorical variables and independent samples t-test for quantitative variables
cCohen’s effect size measure