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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