Statalist The Stata Listserver


[Date Prev][Date Next][Thread Prev][Thread Next][Date index][Thread index]

st: parametric v. nonparametric ROC curve analysis


From   SR Millis <[email protected]>
To   [email protected]
Subject   st: parametric v. nonparametric ROC curve analysis
Date   Tue, 5 Jun 2007 14:42:33 -0700 (PDT)

I tested the difference in the area under ROC curves
for two different logistic models with the same sample
of patients. I did this using the logistic linear
predictors and the roccomp command, which uses the
algorithm suggested by DeLong et al. (1988) by
default.

A journal reviewer is questioning why I didn't use the
binormal method of Metz & Kronman (1980).

My reasoning is that I used a nonparametric ROC
analysis and didn't want to assume a bivariate normal
distribution. I suspect that both methods will yield
similar results but I would be interested in others'
viewpoints.

SR Millis

*
*   For searches and help try:
*   http://www.stata.com/support/faqs/res/findit.html
*   http://www.stata.com/support/statalist/faq
*   http://www.ats.ucla.edu/stat/stata/



© Copyright 1996–2024 StataCorp LLC   |   Terms of use   |   Privacy   |   Contact us   |   What's new   |   Site index