Mapping the Seattle Angina Questionnaire to EQ-5D-5L in patients with coronary heart disease

Table 4 Predictive performance of direct and indirect mapping approach using cross validation method

Model	MAE	RMSE	ρ	CCC
OLS	0.0673	0.0919	0.7683	0.7447
Tobit	0.0865	0.1095	0.7628	0.7539
GLM	0.0691	0.0948	0.7507	0.7182
CLAD	0.0671	0.1089	0.7660	0.7036
RMM	0.0666	0.1080	0.7153	0.5691
BM	0.0591	0.0864	0. 8022	0.7819
ALDVMM	0.0612	0.0907	0.7826	0.7396
Indirect approach	0.0591	0.0840	0.8113	0.7903

Notes: Bold number indicate a best result on that indicator. OLS, order least square; GLM, generalized linear model; CLAD, censored least absolute deviations; RMM, MM-robust regression; BM, mixture beta regression model; ALDVMM, adjusted limited dependent variable mixture model. ρ, Pearson’s correlation coefficients between observed EQ-5D-5L scores and prediction; MAE, mean absolute error; RMSE, root mean square error, CCC, Lin’s Concordance correlation coefficient

ISSN: 1477-7525