Skip to main content

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