Bookmark and Share

Notice: On April 23, 2014, Statalist moved from an email list to a forum, based at

[Date Prev][Date Next][Thread Prev][Thread Next][Date Index][Thread Index]

st: RE: Comparing AuROCs for same predictor but different outcomes

From   "Dwamena, Ben" <>
To   "''" <>
Subject   st: RE: Comparing AuROCs for same predictor but different outcomes
Date   Fri, 6 Apr 2012 14:29:30 +0000

You can use roccomp or If you have Stata 12, rocreg.

Ben A. Dwamena, MD

Division of Nuclear Medicine and Molecular Imaging
Department of Radiology
B1 G-505 UH
1500 E. Medical Center Drive
Ann Arbor, MI  48109-5030
Ph: 734-936-5387 
Fx: 734-936-8182

Nuclear Medicine Service (115)
VA Ann Arbor  Health Care System
2215 Fuller Road
Ann Arbor, MI 48105
Ph: 734-845-3775 

-----Original Message-----
From: [] On Behalf Of Anna DeBenedetti Rubinsky
Sent: Thursday, April 05, 2012 5:56 PM
Subject: st: Comparing AuROCs for same predictor but different outcomes


We have data from a stratified random sample, with final weights to account for the sampling design and nonresponse.
We would like to compare AuROCs for a single screening instrument based on different variants of the outcome (because diagnostic criteria for the disease of interest are changing).

We have been able to estimate separate AuROCs and CIs using Roger Newson's somersd command, factoring in the sampling design (pweight=final weight; cluster=primary sampling unit) per the suggestion on

However, I am not sure how to compare these AuROCs (from the same
sample) and estimate the CI and p-value for the difference.

The listserve has addressed how to compare AuROCs for two predictors of the same outcome (,
but I have not been able to figure how to compare AuROCs of the same predictor for two variations of the outcome, especially given that the data is from a survey with a complex sampling design.

Advice would be much appreciated.
Thank you,
*   For searches and help try:
Electronic Mail is not secure, may not be read every day, and should not be used for urgent or sensitive issues 

*   For searches and help try:

© Copyright 1996–2018 StataCorp LLC   |   Terms of use   |   Privacy   |   Contact us   |   Site index