Allows to perform method comparison using the Deming regresson model (Cornbleet & Gochman, 1979).
Whereas the ordinary linear regression method assumes that only the Y measurements are associated with random measurement errors, the Deming method takes measurement errors for both methods into account.
Select the variables for the two techniques you want to compare.
For each of both techniques you can either enter 2 variables (which contain repeated measurements) or you can enter only one variable, in which case you will have to enter an already established Coefficient of Variation (CV, expressed as a percentage).
As an option, you can create 2 graphs:
Use the Subgroups button if you want to identify subgroups in the scatter diagram and residuals plot. A new dialog box is displayed in which you can select a categorical variable. The graph will display different markers for the different categories in this variable.
The results are displayed in the following text window:
The 95% confidence interval for the Intercept can be used to test the hypothesis that A=0. This hypothesis is accepted if the confidence interval for A contains the value 0. If the hypothesis is rejected, then it is concluded that A is significant different from 0 and both methods differ at least by a constant amount.
The 95% confidence interval for the Slope can be used to test the hypothesis that B=1. This hypothesis is accepted if the confidence interval for B contains the value 1. If the hypothesis is rejected, then it is concluded that B is significant different from 1 and there is at least a proportional difference between the two methods.
The first graph window displays the scatter diagram with regression line (solid line) and identity line (x=y, dotted line)
The second graph windows displays the residuals: