Accuracy versus Inaccuracy [Bioanalytics]

posted by Helmut Homepage – Vienna, Austria, 2009-06-11 06:19 (6224 d 05:04 ago) – Posting: # 3844
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Dear NewInPK!

❝ I've used RE(%) = Accuracy for a long time. However lately I am debating

❝ if I should join the ranks of those who use RE(%) = Inaccuracy.


❝ RE(%) = 100*(measured - theoretical)/theoretical


Welcome to the club!

❝ In many math books Accuracy is described as RE, which means that the lower

❝ the RE, the better the accuracy. However in day to day language, I'd rather

❝ be 100% accurate, then 1% accurate.


Yes!

❝ In one place I noticed the term "Relative Accuracy Error", which

❝ mitigates my dilemma a little better.


Hhm, I'm not a native English speaker - sounds a little bit weird to me. I must confess that I used both Accuracy and Inaccuracy in conversation - it was always clear from the context, which term I actually meant. In my reports I try to use Inaccuracy.

❝ Should we use Inaccuracy, Accuracy, or Relative Accuracy Error?


I would say:The Arlington III Whitepaper states for LBAs:

For a method to be considered acceptable, it is recommended that both the interbatch imprecision (%CV) and the accuracy, expressed as absolute mean bias (%RE) be ±20% (25% at LLOQ and ULOQ). As an additional constraint to control method error, it is recommended that the target total error (sum of the absolute value of the %RE [accuracy] and precision [%CV] be less than ±30% [±40% at the LLOQ and ULOQ]).


❝ Also, is %Bias = %RE?


IMHO, yes.

❝ Same goes for precision.


That's nasty. Arlington III again:

[...] the major sources of variability [are] imprecision and inaccuracy.


To quote William S. Burroughs:

Language is a virus from outer space!


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