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. 2014 Mar 11;12:35. doi: 10.1186/1477-7525-12-35

Table 5.

Multiple regression analyses mapping QLQ-C30 data to EQ-5D

Predictors
Full model
Trimmed model
  Estimate p -value Estimate p -value
Intercept
0.15540
0.2192
0.23004
0.0042
Global health status/QoL*
0.00198
0.0180
0.00191
0.0106
Physical functioning*
0.00463
< 0.0001
0.00478
< 0.0001
Role functioning
0.00058079
0.4512
NS
NS
Emotional functioning*
0.00141
0.0696
0.00136
0.0405
Cognitive functioning
−0.00048664
0.5075
NS
NS
Social functioning
0.00059878
0.3536
NS
NS
Fatigue
0.00016137
0.8588
NS
NS
Nausea/Vomiting
0.00041262
0.7764
NS
NS
Pain*
−0.00249
0.0001
−0.00249
< 0.0001
Dyspnea
0.00060165
0.2879
NS
NS
Insomnia
0.00082466
0.1039
NS
NS
Appetite loss
−0.00037029
0.5885
NS
NS
Constipation
−0.00050445
0.3468
NS
NS
Financial difficulties
0.00079559
0.1187
NS
NS
Adjusted R-squared values
0.6956
0.6941
RMSE indices 0.165 0.165

*Significant predictors in the full model.

NS not significant.