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Table 1 Summary of SF-12/SF-36 preference-based algorithms

From: Are decisions using cost-utility analyses robust to choice of SF-36/SF-12 preference-based algorithm?

  Theoretical Range*     
Algorithm Minimum Maximum Original source of Preferences Source of value (country) Source of sample (country) Sample Size
Brazier (SF-12) 0.35 1.00 1st generation – SG UK UK 836
Lundberg (SF-12) 0.27 0.97 1st generation – VAS Sweden Sweden 4,180
Franks (SF-12) -0.24 0.92 2nd generation – EQ-5D UK US 240
Franks (SF-12) -0.09 0.96 2nd generation – HUI3 Canada US 240
Franks (SF-12) -0.07 0.98 2nd generation – EQ-5D UK US 12,998
Lawrence (SF-12) 0.15 1.01 2nd generation – EQ-5D UK US 14,580
Shmueli (SF-36) 0.23 1.00 1st generation – VAS Israel Israel 2,505
Brazier (SF-36) 0.30 1.00 1st generation – SG UK UK 836
Fryback (SF-36) 0.59 0.84 2nd generation – QWB US US 1,356
Nichol (SF-36) 0.24 1.05 2nd generation – HUI2 Canada US 6,921
  1. *Maximum and minimum scores are based on best and worst responses to all items on the SF-36 and SF-12. For the Lundberg algorithm, minimum obtained is based on male, ≥ 80 years of age, while maximum is based on female, <30 years of age. For the Nichol algorithm, the minimum is based on 100 years of age, while maximum is based on 0 years of age.