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Table 4 Coefficient estimates of ordinary least-square regression

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

Variable

OLS1

OLS2

OLS3

OLS4

OLS5

Constant

0.13583***

0.02434

0.03209

−0.73772***

− 0.9110***

FACT-B total score

0.00693***

    

 PWB

 

0.02103***

0.02101***

0.05172***

0.05918***

 SWB

 

0.00118

   

 EWB

 

0.00368*

0.00400**

0.02837***

0.01932*

 FWB

 

0.00386***

0.00433***

0.01108**

0.02086***

 BCS

 

0.00722***

0.00728***

0.03138***

0.03505***

Dimension squared

 PWB squared

   

−0.00088***

− 0.00030

 EWB squared

   

−0.00076***

− 0.00029

 FWB squared

   

−0.00017***

0.00006

 BCS squared

   

−0.00045***

0.00011

Dimension interaction

 PWB × EWB

    

0.00006

 PWB × FWB

    

−0.00019

 PWB × BCS

    

−0.00111***

 EWB × FWB

    

−0.00019

 EWB × BCS

    

−0.00019

 FWB × BCS

    

−0.00036

  1. * P<0.10, ** P<0.05, *** P<0.01