When introducing a new parameter, it is necessary to compare the power of the new measure with already established ones. For a new method it is quite difficult to compete with established methods which have already ascertained sets of data over many years. A formal comparison of the new parameter with the actual "gold-standard" method can be a useful approach to reduce that problem. It cannot be expected that a new measure would reflect the "gold-standard" method in a simple proportionality. Therefore, it is important to find out the accuracy of the prediction of one parameter from the other, based on simple, e.g. linear, functions. A number of methods exist to determine the crystallization risk of calcium oxalate salts from urine. The most established method is the calculation of the relative urinary supersaturations with respect to these salts using the EQUIL-program, a program computing the equilibrium concentrations of complexes of primary cations and anions commonly found in urine. The Bonn-Risk-Index (BRI) is a new strategy for the evaluation of the risk of calcium oxalate formation, by performing crystallization experiments on native unprepared urine samples. Although the analytical and computational efforts of both approaches are quite different (relative supersaturation = high, BRI = low), the measurements revealed a considerable and significant linear relationship between the relative urinary calcium oxalate supersaturation, and BRI. We were, therefore, interested in predicting the relative supersaturation from the BRI and in the accuracy of this prediction.