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Regression analysis with errors in both X and Y

There should be an add-in which allows generating regression lines accounting for errors in both X and Y. Usually york fit is used for this purpose in other software. It is crucial that JMP also introduces this feature.

 

 

2 Comments
jszarka
Level IV

Starting in JMP 17, you can use the Passing-Bablok fit: Passing-Bablok Fit Report (jmp.com)

 

In the Bivariate platform, use the Fit Passing Bablok option to fit a regression model using the Passing-Bablok method. Passing-Bablok regression was developed for comparing measurements from two different analytical methods. The method assumes a linear relationship between the two variables with strong correlation. A line of fit and a dotted line for Y = X are added to the scatterplot. Use the Bland Altman Analysis option in the Passing-Bablok Fit red triangle menu to perform a paired t-test and Bland-Altman analysis.

hogi
Level XI

If you can specify the variance ratio between both errors, you can use Deming fit, which is available via:

hogi_0-1719425185837.png

 

The actual issue in JMP:
the best regression options are hidden in the bivariate Report - and not available via Graph Builder !??!
here is a wish to fix the issue: Graph Builder: robust regressions