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Table 5 Mapping equations from KIDSCREEN-10 index to UK 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 0.032434 0.004171* 0.029623 0.004257* 0.032500 0.004142* 0.082786 0.007694*
KS2 −0.000249 0.000041* −0.000218 0.000045* −0.000246 0.000041*   
Constant −0.075688 0.102939 −0.006549 0.097355 −0.077689 0.102295 −1.749110 0.316079*
Model 2
KS_I1 0.026771 0.006051* 0.025167 0.008471* 0.022931 0.007461* 0.257334 0.038624*
KS_I2 0.010975 0.005552* 0.022333 0.006579* 0.018505 0.006152*   
KS_I3 0.029050 0.006725* 0.028383 0.007295* 0.022030 0.006130* 0.298660 0.038848*
KS_I4 0.015820 0.005122* 0.015550 0.006502* 0.014684 0.005477*   
KS_I9 0.013502 0.005639* 0.025567 0.004682* 0.023993 0.004852*   
KS_I10 0.020093 0.007056*    0.012365 0.006212* 0.271802 0.037553*
Constant 0.437368 0.024759* 0.440167 0.032133* 0.451961 0.024881* −1.080010 0.162497*
  1. Note: Predicted utility values are for the UK scoring algorithm of the Child Health Utility 9D based on adult values elicited using standard gamble.
  2. Heteroskedasticity robust standard errors. *significant at 5%. For generalised linear model, binomial family and logit link were used.
  3. 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”.