. 2014 Dec 12;12:180. doi: 10.1186/s12955-014-0180-6

Table 3.

Coefficient estimates and goodness-of-fit measures of various regression models mapping the FACT-B subscales to EQ-5D-5L utility index based on baseline survey (N = 238)

	Model 1	Model 2	Model 3	Model 4	Model 5
Ordinary least square
Regression coefficients
Constant	0.2901^**	0.3071^**	0.3064^**	0.2846^**	0.3031^**
Physical well-being	0.0120^**	0.0127^**	0.0125^**	0.0121^**	0.0128^**
Social well-being	−0.0003	−0.0003
Emotional well-being	0.0042^*	0.0062^**		0.0041	0.0061^**
Functional well-being	0.0046^**	0.0048^**	0.0052^**	0.0044^**	0.0046^**
Breast cancer subscale	0.0035^*		0.0048^**	0.0034^*
Goodness-of-fit measures
Square of correlation coefficient, r ²	0.4975	0.4870	0.4890	0.4973	0.4870
Adjusted r ²	0.4867	0.4782	0.4824	0.4887	0.4804
Mean square error	0.0132	0.0135	0.0135	0.0132	0.0135
Mean absolute deviation	0.0913	0.0918	0.0925	0.0913	0.0919
Tobit model
Regression coefficients
Constant	0.1983^**	0.2200^**	0.2342^**	0.2077^**	0.2318^**
Physical well-being	0.0144^**	0.0153^**	0.0147^**	0.0142^**	0.0152^**
Social well-being	0.0006	0.0007
Emotional well-being	0.0050	0.0077^**		0.0051	0.0078^**
Functional well-being	0.0048^*	0.0051^**	0.0060^**	0.0051^**	0.0054^**
Breast cancer subscale	0.0045^*		0.0063^**	0.0046^*
Goodness-of-fit measures
Square of correlation coefficient, r ²	0.4965	0.4861	0.4887	0.4971	0.4869
Adjusted r ²	0.4856	0.4773	0.4821	0.4885	0.4803
Mean square error	0.0143	0.0146	0.0145	0.0143	0.0145
Mean absolute deviation	0.0934	0.0937	0.0945	0.0934	0.0936
Censored least absolute deviation
Regression coefficients
Constant	0.3062^**	0.3208^**	0.3200^**	0.2948^**	0.3149^**
Physical well-being	0.0119^**	0.0121^**	0.0123^**	0.0122^**	0.0121^**
Social well-being	−0.0004	−0.0003
Emotional well-being	0.0041	0.0054^**		0.0042	0.0054^**
Functional well-being	0.0037^*	0.0054^**	0.0039^*	0.0037^*	0.0053^**
Breast cancer subscale	0.0036		0.0054^**	0.0035
Goodness-of-fit measures
Square of correlation coefficient, r ²	0.4968	0.4863	0.4873	0.4968	0.4862
Adjusted r ²	0.4860	0.4775	0.4807	0.4882	0.4796
Mean square error	0.0133	0.0135	0.0135	0.0133	0.0135
Mean absolute deviation	0.0912	0.0917	0.0923	0.0913	0.0917
	Model 1	Model 2	Model 3	Model 4	Model 5
Quantile regression
Regression coefficients
Constant	0.3062^**	0.3208^**	0.3200^**	0.2948^**	0.3149^**
Physical well-being	0.0119^**	0.0121^**	0.0123^**	0.0122^**	0.0121^**
Social well-being	−0.0004	−0.0003
Emotional well-being	0.0041	0.0054^**		0.0042^*	0.0054^**
Functional well-being	0.0037^**	0.0054^**	0.0039^**	0.0037^**	0.0053^**
Breast cancer subscale	0.0036		0.0054^**	0.0035
Goodness-of-fit measures
Square of correlation coefficient, r ²	0.4968	0.4863	0.4873	0.4968	0.4862
Adjusted r ²	0.4860	0.4775	0.4807	0.4882	0.4796
Mean square error	0.0133	0.0135	0.0135	0.0133	0.0135
Mean absolute deviation	0.0912	0.0917	0.0923	0.0913	0.0917
Logistic quantile regression
Regression coefficients
Constant	−1.6525	−1.6097	−1.5750^*	−1.6489	−1.6678
Physical well-being	0.0684	0.0710	0.0678^*	0.0683^**	0.0722^**
Social well-being	0.0001	−0.0035
Emotional well-being	0.0155	0.0320		0.0157	0.0308
Functional well-being	0.0230	0.0312	0.0247	0.0230	0.0295
Breast cancer subscale	0.0216		0.0301	0.0214
Goodness-of-fit measures
Square of correlation coefficient, r ²	0.4686	0.4596	0.4620	0.4687	0.4597
Adjusted r ²	0.4571	0.4503	0.4551	0.4596	0.4528
Mean square error	0.0141	0.0143	0.0143	0.0141	0.0143
Mean absolute deviation	0.0946	0.0949	0.0953	0.0946	0.0950

^**P-value < 0.01; ^*P-value < 0.05.