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.