[Date Prev][Date Next][Thread Prev][Thread Next][Date index][Thread index]
Re: st: comparison of diagnostic procedures
&Agr;&rgr;&khgr;&igr;&kgr;&oacgr; &mgr;&eeacgr;&ngr;&ugr;&mgr;&agr; &agr;&pgr;&oacgr; Svend Juul <SJ@SOCI.AU.DK>:
> htzvara (?) wrote:
> i have one variable which represents if the patient has the disease (coding:
> 1)--and this is standard.
> Additionally i have 12 more variables which represents the outcome of 12
> different diagnostic procedures (coding: 0-1 for all of them).I want to find
> which is the best diagnostic procedure. I calculate the sensitivity and
> specificity and their confidence intervals for each of them. If the
> interval for the sensitivity of one diagnostic procedure do not overlap the
> confidence interval for the Se of another diagnostic procedure then the
> difference is significant.
> Is there any test to perform and give p_value? Is there a need to make a
> correction for multiple comparisons.?
> It is not quite clear to me what you want. If it is to find the single test
> that has the "best" predictive value, try Paul Seed's -diagt- (findit
> diagt). However, you must look at both sensitivity and specificity to get a
> meaningful assessment.
> I am not sure why you want to test whether the sensitivity of two tests are
> significantly different. And the confidence interval comparison you describe
> is quite insensititive.
> Would this show what you need:
> Make a logistic regression followed by -lroc- (ROC analysis):
> . logistic disease test1-test12
> . lroc
> You might then try to remove tests to see whether removal makes a difference
> to the AUC (area under curve).
> Hope this helps
> Svend Juul
> Institut for Folkesundhed, Afdeling for Epidemiologi
> (Institute of Public Health, Department of Epidemiology)
> Vennelyst Boulevard 6
> DK-8000 Aarhus C, Denmark
> Phone, work: +45 8942 6090
> Phone, home: +45 8693 7796
> Fax: +45 8613 1580
> E-mail: firstname.lastname@example.org
> Thank you very much for your help.
I know about diagt and i used it to obtain the sensitivity - specificity.
Roc analysis cannot help as the variables which represents the diagnostic
tests are not continuous but dichotomous (0-1).Even if i can see, which test
has the best se-sp i want to perform a test to prove it.
thank you again.
> * 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/
* For searches and help try: