Deming Regression Methodology and Application

This document is a guide on Deming regression, a statistical technique used to compare two measurement methods where both methods have measurement errors. It begins by explaining the fundamental differences between Deming regression and simple linear regression, emphasizing that both variables in Deming regression are subject to measurement error. The guide outlines the steps necessary to perform Deming regression, including determining measurement errors for both methods, calculating the lambda ratio, and collecting data for analysis. It provides an example comparing two test methods, detailing how to estimate measurement errors using Gage R&R studies and the EMP consistency study. The guide also includes instructions for performing the regression analysis, calculating coefficients, and interpreting the output, including regression coefficients and their statistical significance. The document concludes with a discussion on the results and their implications for comparing measurement methods, ensuring that both are in statistical control before proceeding with the analysis.