
ROC curve model development
Thank you very much for your respond. It's enlightening to get a
response from someone with your experience in ROC methodology. I have
been to your site and looked at what is available there. Additionally,
I plan to read many of the articles and publications you have written
over the years.
Over the last 20 years I have worked in a computational environmental
where I have written the code for experimenting with various decision
models and statistical programs in a useful but not so popular
programming language. I'm very interested in learning how to write a
program for a basic ROC curve model in my (APL)programming language.
I have several articles written by John A. Swets, who as you know is
one of the developers of ROC methodology. What I meant by "developing
an ROC model" referred to reading and digesting the existing theories
on ROC methodologies to be able to program a ROC model for my own
application. If I can find very simplistic ROC models in a spreadsheet
application with data or in a printed format where I could trace the
formulas in steps it accelerate my project. I would then be able to
experiment with various detection and threshold alternatives using
my modeling experience and knowledge of my application.
Thank you again for your response. I will email you with a few
additional comments to make sure you understand what I am trying to do.
Quote:
>Although I have experience in ROC methodology, I don't understand what
>you mean by "developing an ROC model." A new statistical model for ROC
>data? A new parametric functional form for ROC curve-fitting? A new
>criterion for "best-fit" ROC curve? A new approach for testing the
>statistical significance of differences between ROC curve estimates?
>Charles Metz
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