jamovi

Hi anagrammarian

Yesterday, In psychoPDA > Test ROC module, I noticed that the deLong Test does not resolve the missing value and gives an error, so I am adding a deLong Test that resolves the missing value issue to snowCluster > ROC Analysis.

I hope this will help you.

Best Regards
Seol

Hi Seol,
I just posted a Q in the help section, and you seem to be the right person to answer, Im not sure how to best tag you in this conversation..

The question is what the cut-off value is based on, which method used. And what is the significance of Ir.eta, see picture

Thanks in advance for your time!
best,

Hi elifol

With the following example,


The optimal cutoff value for Height can be found by substituting the value of lr.eta (0.545 ) into the above formula outcome, substituting the slope and intercept values for Height, and solving the equation.


Best
Seol

Hi elifol

Compare the above results with Binomial Logistic Regression in jamovi below:

Best
Seol

you will get the same results with the following analysis.

Best
Seol

Thank you!

I am more familiar with using Youden Index cut-off or closest topleft criterion, but this is another way of calculating the same thing? In my example the result is Yes or No (diagnosing a disease) and not a continous variable.

best,
Elin

Hi

The main ROC analysis in snowCluster module is based on multipleROC R package.

For more information about multipleROC R package, see the following link: https://github.com/cardiomoon/multipleROC

Kind Regards
Seol