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Table 6 Measures of prediction from multiple variable modelling in the estimation dataset

From: Mapping of the EQ-5D index from clinical outcome measures and demographic variables in patients with coronary heart disease

Model

Variables in model (in addition to age, sex and disease stage)

RMSE

MAE

Adjusted R2

1

---

0.288

0.209

0.04

2

ETT

0.226

0.169

0.29

3

CCS

0.249

0.185

0.28

4

SAQ ECS

0.179

0.130

0.43

5

SAQ ASS

0.264

0.193

0.13

6

SAQ ASS with ACRE data excluded

0.228

0.163

0.15

7

SAQ AFS

0.243

0.175

0.23

8

SAQ AFS with ACRE data excluded

0.204

0.148

0.32

9

SAQ DPS

0.199

0.144

0.35

10

SAQ TSS

0.230

0.165

0.13

11

SAQ ECS, AFS, DPS

0.170

0.122

0.48

12

SAQ ECS, ASS, AFS, DPS, TSS

0.169

0.121

0.49

  1. Key: RMSE = root mean square error, MAE = mean absolute error, ETT = exercise treadmill time, CCS = Canadian Cardiovascular Society Angina Classification, SAQ = Seattle Angina Questionnaire, ECS = exertional capacity scale, ASS = anginal stability scale, AFS = anginal frequency scale, DPS = disease perception scale, TSS = treatment satisfaction scale