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Table 4 Performance of mapping algorithms in different ranges of observed EQ-5D

From: Testing mapping algorithms of the cancer-specific EORTC QLQ-C30 onto EQ-5D in malignant mesothelioma

Mapping algorithm

Observed UK EQ-5D values of 0.75-1.00 used (n = 91)

Observed UK EQ-5D values of 0.50-0.75 used (n = 114)

Observed UK EQ-5D values of less than 0.50 used (n = 45)

 

Mean predicted EQ-5D (observed)

MAE

RMSE

Mean predicted EQ-5D (observed)

MAE

RMSE

Mean predicted EQ-5D (observed)

MAE

RMSE

Crott

0.8433 (0.8750)

0.0851

0.1086

0.6873 (0.6615)

0.1159

0.1457

0.4639 (0.2064)

0.2656

0.3040

Jang

0.8316 (0.8909)

0.0608

0.1033

0.6773 (0.7410)

0.0637

0.1230

0.5397 (0.4518)

0.0879

0.1462

Kim EJ

0.9430 (0.8826)

0.0604

0.0994

0.8219 (0.7111)

0.1108

0.1343

0.7321 (0.4991)

0.2330

0.2527

Kim SH

0.8937 (0.8826)

0.0111

0.0767

0.7758 (0.7111)

0.0646

0.0968

0.6774 (0.4991)

0.1783

0.2031

Kontodimopoulos

0.9145 (0.8750)

0.1225

0.1569

0.6532 (0.6615)

0.1414

0.1854

0.4215 (0.2064)

0.2684

0.3271

Longworth

0.8105 (0.8750)

0.0667

0.1196

0.6176 (0.6615)

0.0439

0.1556

0.3734 (0.2064)

0.1671

0.2496

McKenzie

0.8206 (0.8750)

0.1180

0.1559

0.5954 (0.6615)

0.1496

0.1937

0.3377 (0.2064)

0.1804

0.2200

Proskorovsky

0.7481 (0.8750)

0.1268

0.1622

0.5596 (0.6615)

0.1019

0.1673

0.4206 (0.2064)

0.2143

0.2634

Versteegh

0.8967 (0.8978)

0.0010

0.0893

0.7387 (0.7134)

0.0255

0.1473

0.5579 (0.3296)

0.2282

0.3598