[R] Sensitivity analysis - looking a tool for epidemiologic	research
    Dominic Comtois 
    dominic.comtois at gmail.com
       
    Wed Feb  1 00:37:53 CET 2012
    
    
  
Thanks for the reply. I am aware of those packages, as well as of a few
others (epiR, epinet, epibasix, epicalc). Unfortunately, they don't do this.
I'll try to get in touch with the authors of the Stata package, who knows.
Regards,
D.C.
-----Message d'origine-----
De : MacQueen, Don [mailto:macqueen1 at llnl.gov] 
Envoyé : 30 janvier 2012 18:19
À : Dominic Comtois; r-help at r-project.org
Objet : Re: [R] Sensitivity analysis - looking a tool for epidemiologic
research
R has several packages for epidemiology. Maybe one of them has it. Take a
look.
To name just two:  "Epi" and "epitools"
-Don
--
Don MacQueen
Lawrence Livermore National Laboratory
7000 East Ave., L-627
Livermore, CA 94550
925-423-1062
On 1/27/12 9:01 PM, "Dominic Comtois" <dominic.comtois at gmail.com> wrote:
>Stata users can rely on the very neat Episens package for sensitivity 
>analysis. Briefly, it allows one to specify a diagnostic tool's 
>sensitivity and specificity and take those into account when estimating 
>a risk ratio, for instance. A full description of the package is 
>available at 
><http://www.stata-journal.com/sjpdf.html?articlenum=st0138>
>http://www.stata-journal.com/sjpdf.html?articlenum=st0138
>
> 
>
>Anyone aware of a similar package in R?
>
> 
>
>Thanks
>
> 
>
>DC
>
>
>	[[alternative HTML version deleted]]
>
>______________________________________________
>R-help at r-project.org mailing list
>https://stat.ethz.ch/mailman/listinfo/r-help
>PLEASE do read the posting guide
>http://www.R-project.org/posting-guide.html
>and provide commented, minimal, self-contained, reproducible code.
    
    
More information about the R-help
mailing list