Assessment of analytical bias: four new ways to use recovery measurements.
I describe three ways of using data from analytical-recovery studies to assess analytical nonlinearity, without access to samples of known concentration. I then describe a recovery-based method of assessing constant, proportional, and non-linear errors with use of as little as one sample pool of known concentration. In each case, I present the theoretical basis of the method and an outline of a practical experimental protocol.
D002623:Chemistry Techniques, Analytical / Q000379:methods*; D002624:Chemistry, Clinical / Q000379:methods*; D008433:Mathematics; D008962:Models, Theoretical