Hello,
I would like to compare two measurement methods using a deming regression.
This is a follow-up study, and in the first study my colleagues have used a deming regression in the "Analyze it" platform in Excel. But we don't have access to the software anymore, so instead I would like to conduct the analysis using JMP v. 16.
As far as I understand, deming regression is not found in JMP?
I have seen previous posts about using orthogonal fit if the variance ratio is 1. And I've also found an add-in from russ.wolfinger@sas.com.
The Deming analysis output in "Analyze it" contains the slope, intercept, and CI and p-value for the slope and intercept. Moreover the CI values are Jackknife 95%.
![DI_2-1646053556668.png DI_2-1646053556668.png](https://community.jmp.com/t5/image/serverpage/image-id/40352i1E0E04C3E9A13BBC/image-dimensions/496x206?v=v2)
The output from Orthogonal fit in JMP only contains slope, intercept and confidence interval for the slope.
![DI_1-1646052866457.png DI_1-1646052866457.png](https://community.jmp.com/t5/image/serverpage/image-id/40351i52B2D26DF9D7E3B1/image-size/medium?v=v2&px=400)
So, my question is how can I interpret the JMP output and determine if the two measurement methods are different without having the CI for the intercept and p-values for the slope and intercept. Do I need additional analyses, like Bland Altman in addition to the Orthogonal fit?
And are there better options in JMP for deming regression?
Thanks.
Br.
Dilek