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Table 4 Mapping equations from KIDSCREEN-10 index to Child Health Utility 9D utility scores

From: From KIDSCREEN-10 to CHU9D: creating a unique mapping algorithm for application in economic evaluation

  Ordinary least squares estimator Censored least absolute deviations estimator MM-estimator Generalised linear model
  Coeff. SE Coeff. SE Coeff. SE Coeff. SE
Model 1
KS 0.043515 0.005291* 0.046580 0.006828* 0.049504 0.006682* 0.092650 0.008747*
KS2 −0.000334 0.000053* −0.000359 0.000072* −0.000384 0.000070*   
Constant −0.435412 0.129225* −0.510120 0.160989* −0.593052 0.157245* −2.472760 0.359525*
Model 2
KS_I1 0.035797 0.008005* 0.059820 0.009940* 0.037867 0.010995* 0.296834 0.042888*
KS_I2 0.017943 0.007725*    0.023085 0.009292*   
KS_I3 0.037163 0.008005* 0.039315 0.011111* 0.037192 0.009329* 0.331778 0.040524*
KS_I4 0.022713 0.006543* 0.027291 0.010421* 0.021284 0.007952*   
KS_I9 0.016046 0.007037*    0.024877 0.008434*   
KS_I10 0.027138 0.008991* 0.060152 0.010321* 0.022256 0.010361* 0.300356 0.041449*
Constant 0.250215 0.029866* 0.156848 0.053203* 0.222655 0.034914* −1.735730 0.167557*
  1. Heteroskedasticity robust standard errors (SE). *significant at 5%. For generalised linear model, binomial family and logit link were used.
  2. KS – the KIDSCREEN-10 index; KS_I1 – “fit and well”, KS_I2 – “energy”, KS_I3 – “sad”, KS_I4 – “lonely”, KS_I9 – “got on well at school”, KS_I10 – “been able to pay attention”.