Skip to main content

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