For data from both the fluorescence and mass spectroscopy assays, removing outliers using Lenth's method reduces the ASE for the vast majority of estimated parameters. Of the 1668 fluorescence assay curves, 590 had at least one outlier. In all of these curves, removing the outlier(s) and refitting the data led to a lower ASE (Fig. ). Of the 238 mass spectroscopy curves, 94 had at least one outlier. For most of these, removing the outlier(s) and refitting especially evident in the analysis of incomplete curves. Moreover, we have shown that an outlier detection and curve refitting leads to a lower ASE of the pIC 50 and Hill slope for both 4PL+C and 4PL.