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Table 9 Mean actual value and predicted value between different demographic and clinical characteristics patients in 3 best models

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

Characteristic

Groups

Actual value

Predicted value

Equated value

OLS5

P

Tobit5

P

TPM5

P

OLS5

P

Health-care insurance

Urban employees

0.871

0.870

0.002

0.866

0.003

0.869

0.002

0.872

0.002

Urban residents

0.912

0.907

0.904

0.908

0.916

New rural cooperative scheme

0.825

0.826

0.822

0.827

0.820

Other

0.857

0.869

0.863

0.867

0.871

Course of disease, month

≤12

0.809

0.821

<0.001

0.817

0.001

0.819

<0.001

0.814

<0.001

13~36

0.887

0.883

0.879

0.882

0.888

37~60

0.912

0.896

0.893

0.895

0.904

≥61

0.831

0.833

0.829

0.836

0.828

TNM stage

0

0.900

0.897

0.051

0.893

0.072

0.896

0.144

0.905

0.051

I

0.899

0.892

0.888

0.890

0.899

II

0.869

0.864

0.860

0.863

0.866

III

0.844

0.835

0.831

0.835

0.831

IV

0.701

0.776

0.775

0.791

0.760

Inpatient/Outpatient

Outpatient

0.889

0.882

<0.001

0.878

<0.001

0.881

<0.001

0.887

<0.001

Inpatient

0.685

0.723

0.720

0.726

0.696

Endocrine therapy

No

0.810

0.820

0.001

0.817

0.003

0.821

0.002

0.813

0.001

Yes

0.878

0.873

0.869

0.873

0.877

Disease state

Primary breast cancer within one year (state P)

0.814

0.818

<0.001

0.814

<0.001

0.816

<0.001

0.811

<0.001

Primary and recurrent breast cancer for the second year and above (state S)

0.904

0.893

0.888

0.892

0.900

Recurrent breast cancer within one year (state R)

0.779

0.776

0.773

0.782

0.760

Metastatic cancer (state M)

0.737

0.792

0.789

0.803

0.779