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d.  Consider outlier if the individual value in the respective column exceed:
                                 •  4x mean absolute difference; AND
                                 •  4X Mean normalized (relative) absolute difference

                          e.  Investigate & document outlier before deleting the data from the data set.

                          f.  If  more  than  one  sample  has  to  be  deleted,  carry  out  an  expended
                              investigation into the cause of discrepancies. If the cause is due to offending
                              samples alone replace those samples in the data sheet. Document the cause
                              of the problem. If it can be corrected but not traced to specific samples, the
                              entire data must be recollected.

                          g.  If  problem  cannot  be  found  and  cannot  be  corrected,  evaluate  size  of
                              maximum different between duplicates relative to allowable medical decision
                              limit for precision of the method, used Relative changed Value (RCV) for this
                              purpose

                              NOTE:
                              RCV=2.77*√(CVi² + CVa²)
                                   within method assessment used CVa of the method being assessed
                                     (current or/and new)

                   6.  Test for between method outlier
                       a.  Compute the absolute differences between methods and their average (similar
                          as in step 4).
                              •  Absolute difference for both Run 1 and Run 2 on new method from mean
                                 of replicates of old method
                                     o  EgRun1(new)-mean old, Run 2(new) –mean old
                              •  Mean absolute difference, ∑ total absolute diff/2n

                       b.  Compute a relative absolute difference between methods and their average (also
                          similar as in step 4).
                              •  Relative absolute difference, eg (Run1(new)-mean old)/mean old
                              •  Mean Relative Absolute difference, Ẽ’=∑ total relative absolute diff/2n

                       c.  Consider outlier if the individual value  exceed:
                              •  4x mean absolute difference; AND
                              •  4X Mean normalized (relative) absolute difference

                       d.  How many outlier can be excluded?
                              •  Only 2.5% of total samples and IF
                              •  >2.5% outliers - investigate possible interference (human error and device
                                 malfunctions).  If obvious causes  cannot be determined, and if  the
                                 differences  between  the  values  exceed  the  bounds  of  medical
                                 significance then
                                   Stop the evaluation or
                                   Add 40 new samples or
                                   If  the outlier do not exceed a medically significant difference, based
                                     on RCV &TEa, retained and use the data. If expanded investigation
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