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Table 6 Summary of model performance for OLS, Tobit and TPM models

From: Mapping function from FACT-B to EQ-5D-5 L using multiple modelling approaches: data from breast cancer patients in China

Model Model 1 Model 2 Model 3 Model 4 Model 5
OLS
 r2 0.503 0.602 0.601 0.676 0.700
 Adjusted r2 0.502 0.597 0.599 0.671 0.690
 RMSE 0.136 0.122 0.122 0.111 0.108
 MAD 0.106 0.112 0.112 0.103 0.101
 MAE 0.094 0.086 0.086 0.074 0.071
 AIC − 511.486 −602.471 − 603.658 − 687.881 −705.106
 BIC −503.286 −577.869 −583.157 − 650.979 −643.601
Tobit model
 r2 0.575 0.648 0.647 0.680 0.694
 Adjusted r2 0.574 0.644 0.645 0.676 0.687
 RMSE 0.127 0.115 0.115 0.109 0.107
 MAD 0.099 0.106 0.106 0.103 0.102
 MAE 0.084 0.078 0.078 0.073 0.072
 AIC −131.380 − 196.891 −197.837 −216.597 − 220.060
 BIC −119.079 − 168.189 − 173.235 − 175.594 −154.455
Two-part model
 r2 0.534 0.615 0.614 0.674 0.695
 Adjusted r2 0.533 0.611 0.611 0.669 0.689
 RMSE 0.132 0.120 0.112 0.110 0.106
 MAD 0.110 0.113 0.114 0.102 0.099
 MAE 0.087 0.081 0.082 0.072 0.071
 AIC − 341.450 −408.173 − 410.354 − 470.352 − 492.476
 BIC − 333.877 − 385.306 − 395.109 −443.674 − 454.365