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Table 2 Regression algorithms for converting SF-36 scores into AQoL scores

From: Can we derive an 'exchange rate' between descriptive and preference-based outcome measures for stroke? Results from the transfer to utility (TTU) technique

Model Predictor β SE t Sig.
SF-36 Scale      
All stroke (Constant) 0.1148 0.139 0.82 0.411
  PCS 0.0024 0.003 0.67 0.503
  MCS -0.0004 0.003 -0.14 0.885
  PCS*PCS     ns
  MCS*MCS     ns
  MCS*PCS 0.0001 0.000 2.23 0.027
  0.7056   F639,431 = 2.85 0.000
   Obs^ = 1074 Ids# = 640 F3,431 = 37.01 0.000
    R2 within = 0.21 R2 between = 0.59 R2 overall = 0.55
SF-36 Subscale      
All stroke (Constant) 0.0986 0.314 3.15 0.002
  Physical Function (PF) 0.0057 0.001 4.46 0.000
  General Health (GH) 0.0017 0.001 3.11 0.002
  Mental Health (MH)*PF 3.84*10-5 9.73*10-6 3.95 0.000
  PF*PF -5.35*10-5 1.19*10-5 -4.48 0.000
  PF* Role Physical (RP) 1.29*10-5 6.11*10-6 2.11 0.035
  Social Function (SF)*SF 8.47*10-6 2.56*10-6 3.31 0.001
  Bodily Pain (BP)*RP 8.65*10-6 4.35*10-6 1.99 0.047
  GH*RP -2.10*10-5 6.35*10-6 -3.30 0.001
  0.6298   F639,431 = 2.01 0.000
   Obs = 1079 Ids = 640 F8,431 = 28.78 0.000
    R2 within = 0.35 R2 between = 0.75 R2 overall = 0.72
SF-36 Item      
All stroke (Constant) -0.1986 0.0790 -2.51 0.012
  Item 1 (general health now) -0.0197 0.0101 -1.94 0.053
  Item 3b (moderate activities) 0.0519 0.0151 3.44 0.001
  Item 3e (one flight stairs) 0.0353 0.0160 2.21 0.028
  Item 3h (walking 1/2 km) 0.0345 0.0155 2.22 0.027
  Item 3j (bathing/dressing) 0.0768 0.0173 4.43 0.000
  Item 4a (other activities) 0.0279 0.0168 1.67 0.096
  Item 9b (nervous) 0.0157 0.0066 2.37 0.018
  Item 9f (felt down) 0.0132 0.0075 1.74 0.082
  Item 9i (tired) 0.0199 0.0065 3.04 0.002
  Item 10 (social activities, time) 0.0147 0.0064 2.31 0.021
  0.6294   F640,429 = 1.85 0.000
   Obs = 1080 Ids = 641 F10,429 = 21.87 0.000
    R2 within = 0.34 R2 between = 0.73 R2 overall = 0.71
  1. ^Obs denotes number of observations. #Ids denotes number of respondents.