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102    CHAPTER 5 Modeling the SMBG measurement error




                         Table 5.4 Validation of the BCN model. Mean (minimumemaximum) across
                         100 replicates of the average MAD between 500 simulated EDFs and test set
                         EDF.
                            Two-zone skew-normal
                                   model            Two-zone Gaussian model  Single-zone
                                                                             Gaussian model
                          Zone 1      Zone 2       Zone 1       Zone 2
                          0.0131      0.0156       0.0296       0.0270       0.0393 (0.0391
                          (0.0128     (0.0150      (0.0292      (0.0264      e0.0397)
                          e0.0134)    e0.0161)     e0.0301)     e0.0275)
                          Data from Vettoretti M, Facchinetti A, Sparacino G, Cobelli C. A model of self-monitoring blood glucose
                          measurement error. Journal of Diabetes Science and Technology 2017;11(4):724e735.
                            In addition, for this dataset, the validation results show that the two-zone skew-
                         normal-exponential model outperforms the single-zone Gaussian model and the
                         two-zone Gaussian model. Indeed, the mean of average MAD (Table 5.4) was about
                         three times larger with the single-zone Gaussian model compared to the two-zone
                         skew-normal-exponential model. In addition, the two goodness-of-fit tests always
                         rejected H 0 both in zone 1 and in zone 2. When the two-zone Gaussian model
                         was used, the mean of average MAD was about twice the value obtained with the
                         two-zone skew-normal-exponential model, and H 0 was rejected for more than
                         50% of zone 1 simulated samples (on average: 59.21%, for KS, and 81.63%, for
                         CvM) and more than 10% of zone 2 simulated samples (on average: 14.20%, for
                         KS, and 20.67%, for CvM).

                         Remark

                         The threshold dividing the two constant-SD zones was 75 mg/dL for OTU2 and
                         115 mg/dL for BCN. These results are, not surprisingly, coherent with the require-
                         ments (in terms of accuracy) imposed on SMBG devices by the standard ISO 15197.
                         Indeed, the 2003 standard [15] requires that 95% of the SMBG values should have
                         an absolute error lower than 15 mg/dL for glucose concentration lower than 75 mg/
                         dL and a relative error lower than 20% in the rest of the range, while the 2013 stan-
                         dard [16] requires that 95% of the SMBG values should have an absolute error lower
                         than 15 mg/dL for glucose concentration lower than 100 mg/dL and a relative error
                         lower than 15% in the rest of the range. In particular, the 75 mg/dL threshold we
                         found for OTU2, which was approved by FDA in 2006, reflects the same partition
                         defined by the standard ISO 15197:2003, while the 115 mg/dL threshold we found
                         for BCN, which was approved by FDA in 2012, is similar to the one defined by the
                         standard ISO 15197:2013.




                         Applications of the SMBG measurement error models
                         Models of SMBG measurement error can be used to generate synthetic SMBG data
                         in many interesting applications. For example, a reliable model of SMBG accuracy
                         can be used in in silico experiments for developing, testing, and optimizing insulin
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