The Naka-Rushton equation empirically describes the amplitude R of the
dark-adapted electroretinogram b-wave, as a function of stimulus lumi
nance L, as R/R(max) = L(n)/(L(n) + K(n)). Estimating the three parame
ters R(max), n, and K of this function from electroretinogram data is
of both experimental and clinical interest. Several different approach
es have been developed to accomplish this analysis, but these approach
es may derive different estimates of the three parameters. To examine
this possibility, we compared the results of three methods of fitting
the Naka-Rushton equation to data sets obtained from 30 normal subject
s. Two methods were nonlinear curve-fitting programs; the third method
involved fitting a regression line to transformed data. The results i
ndicate that solutions provided by these methods have consistent diffe
rences, which may be an important consideration when comparing results
reported in studies that used different curve-fitting methods.