Skip to main content

Table 3 Observed vs predicted goodness of fit statistics over the range of observed EQ-5D values

From: The validation of published utility mapping algorithms: an example of EORTC QLQ-C30 and EQ-5D in non-small cell lung cancer

MappingOverall
N = 4382
EQ-5D < =0.5
N = 288
0.5 < EQ-5D < =0.75
N = 1147
0.75 < EQ-5D < =1
N = 2947
O-PMAERSMEO-PMAERSMEO-PMAERSMEO-PMAERSME
Young et al. (2015) [12]0.0220.0870.119−0.0920.2070.264− 0.0070.0900.1230.0450.0740.091
Khan and Morris (2014) [13]0.1290.1760.211−0.3120.3130.3840.0380.0580.0690.2080.2080.223
Khan et al. (2016) [14]0.1220.1780.219−0.3600.3600.4270.0130.0460.0570.2120.2120.229
  1. Key: MAE Mean absolute error, N Number of questionnaires completed, O-P Difference between mean observed and predicted EQ-5D utility values, RSME Root mean square error