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Table 5 Out-of sample Cross validation of best fitting models - summary of observed and predicted values

From: Mapping the EQ-5D index from the cystic fibrosis questionnaire-revised using multiple modelling approaches

  EQ-5D OLS model 3 OLS model 5 Tobit model 3 Tobit model 5 TPM model 3 TPM model 5
Sample 1        
N 97 97 97 97 97 97 97
Mean (SD) 0.6776 (0.277) 0.6755 (0.205) 0.6976 (0.252) 0.6717 (0.207) 0.6891 (0.238) 0.6932 (0.214) 0.6811 (0.270)
Range −0.3490 - 1 0.2702 - 1.028 0.1038 - 1.269 0.2539 - 0.9729 0.1444 - 1 0.1814 - 0.9734 0.0133, 1
RMSE   0.141 0.163 0.160 0.160 0.187 0.187
ICC   0.65 0.54 0.65 0.53 0.64 0.40
Sample 2        
N 101 101 101 101 101 101 101
Mean (SD) 0.6632 (0.288) 0.6701 (0.243) 0.6744 (0.297) 0.6683 (0.246) 0.6744 (0.297) 0.6868 (0.263) 0.6785 (0.329)
Range −0.1810 - 1 −0.0399 - 1.006 −0.1850 - 1.242 −0.0040 - 0.981 −0.2001 - 1 −0.1830 - 0.9838 −0.1642, 1
RMSE   0.118 0.165 0.162 0.162 0.182 0.182
ICC   0.79 0.61 0.79 0.64 0.79 0.50
Sample 3        
N 100 100 100 100 100 100 98
Mean (SD) 0.6742 (0.277) 0.6696 (0.202) 0.6791 (0.221) 0.6779 (0.210) 0.6808 (0.236) 0.6954 (0.214) 0.6886 (0.252)
Range −0.1810 - 1 0.2417 - 0.9782 0.0777 - 1.193 0.2592 - 0.9824 −0.0555 - 1 0.2593 - 0.9837 0.1442, 1
RMSE   0.146 0.196 0.204 0.204 0.223 0.223
ICC   0.50 0.31 0.52 0.29 0.49 0.29
Sample 4        
N 103 103 103 103 103 103 103
Mean (SD) 0.6688 (0.287) 0.6703 (0.238) 0.6515 (0.281) 0.6703 (0.237) 0.6526 (0.302) 0.6887 (0.248) 0.6678 (0.295)
Range −0.3310 - 1 −0.0577 - 1.048 −0.2275 - 1.201 −0.0441 - 0.9839 −0.2964 - 1 −0.1583 - 0.9879 −0.1745, 1
RMSE   0.120 0.185 0.180 0.180 0.207 0.207
ICC   0.80 0.51 0.81 0.56 0.81 0.47
  1. OLS, ordinary least squares; TPM, two-part model; SD, standard deviation; ICC, Intraclass correlation; RMSE, root of the mean square error.
  2. Model 3 = CFQ-R domains that are statistically significant at the 10% level + statistically significant squared terms; Model 5 = All CFQ-R items excluding the health domain items; TPM Model 8 = All CFQ-R items excluding the health domain items + age and gender.