Mapping the EORTC QLQ-C30 to EQ-5D-3L in patients with breast cancer

BMC Cancer

Table 2 Comparisons of fit statistics

	MAE	RMSE	AIC^a	BIC^a	QIC^a	Mean^b	Absolute Difference
Linear regression	0.1203	0.1680	–	–	–	0.7103	0.0047
Response mapping	0.1191	0.1702	–	–	–	0.7057	0.0093
1 component ALDVMM	0.1196	0.1696	− 2302.11	− 2164.82	− 2289.01	0.7201	0.0051
2 component ALDVMM	0.1173	0.1684	− 2538.83	−2164.82	− 2515.96	0.7201	0.0051
3 component ALDVMM	0.1172	0.1677	− 2528.40	− 2154.39	− 2459.09	0.7171	0.0021
4 component ALDVMM	0.1173	0.1675	− 2673.51	− 2168.59	− 2629.49	0.7182	0.0032

MAE Mean Absolute Error, RMSE Root Mean Squared Error, AIC Akaike Information Criteria, BIC Bayesian Information Criteria
^aNote that AIC, BIC and QIC cannot be compared between linear regression, response mapping and mixture models and so they are not included for the linear model or response mapping
^bmean observed = 0.7150

ISSN: 1471-2407