Skip to content

How to test if two C statistics are significantly different?

4 messages · Yujie Wang, Eik Vettorazzi, alanm (Alan Mitchell) +1 more

#
Hi Yujie,
there is still a lot of work in progress, I think. As
http://faculty.washington.edu/heagerty/Software/SurvROC/RisksetROC/risksetROCdiscuss.pdf

states: "[...] for inference and variance estimation, we now suggest
bootstrapping [...]".
Recently I catched a glimpse on roc.test from the pROC package, they
implemented, amongst others, a bootstrap algorithm - maybe this is a
start for your own work?

Hth.

Am 10.10.2011 21:35, schrieb Yujie Wang:

  
    
#
?Hmisc::rcorrp.cens

-Alan



-----Original Message-----
From: Eik Vettorazzi [mailto:E.Vettorazzi at uke.de]
Sent: Tue 10/11/2011 2:25 AM
To: Yujie Wang
Cc: r-help at r-project.org
Subject: Re: [R] How to test if two C statistics are significantly different?
 
Hi Yujie,
there is still a lot of work in progress, I think. As
http://faculty.washington.edu/heagerty/Software/SurvROC/RisksetROC/risksetROCdiscuss.pdf

states: "[...] for inference and variance estimation, we now suggest
bootstrapping [...]".
Recently I catched a glimpse on roc.test from the pROC package, they
implemented, amongst others, a bootstrap algorithm - maybe this is a
start for your own work?

Hth.

Am 10.10.2011 21:35, schrieb Yujie Wang:

  
    
#
Thanks for mentioning rcorrp.cens which is much more powerful than testing
for differences in C.  Likelihood ratio tests would be even more powerful. 
Ordinary differences in C index yields a test with power that is too low.
Frank
alanm (Alan Mitchell) wrote:
-----
Frank Harrell
Department of Biostatistics, Vanderbilt University
--
View this message in context: http://r.789695.n4.nabble.com/How-to-test-if-two-C-statistics-are-significantly-different-tp3891857p3894430.html
Sent from the R help mailing list archive at Nabble.com.