[R] Covariable Logistic Regression In R

[Frank Harrell]

In my humble opinion, the statistical methods should be mastered before the
software.
Frank

Anamaria Crisan wrote:
> 
> I specifically wanted to do an adjusted covariable analysis and I want
> incorporate genetic information in that. The language tossed around is
> just
> to do an 'adjusted analysis', but I am not certain if this is common
> terminology as I am relatively new to biostatistics. Perhaps I did not
> express myself well enough, so I apologize. I justed wanted to know if R
> had
> some packages available that could help me with this because I have been
> having trouble finding it.
> 
> Thank you,
> 
> Ana
> 
> 
> On Wed, May 18, 2011 at 3:14 PM, Frank Harrell
> <f.harrell at vanderbilt.edu>wrote:
> 
>> First of all, use the correct terminology for the statistical method.
>>
>> It is not productive to identify 'significant' genes unless you use quite
>> complex methods.  This kind of endeavor would take at least 6 statistics
>> courses in order to be successful.
>> Frank
>>
>> Anamaria Crisan wrote:
>> >
>> > Hello,
>> >
>> > I would like some help figuring out how to run
>> > Covariable Logistic Regression in R. I've been searching for a while on
>> > how
>> > to get this done in R (I have had the luck previously of using a
>> software
>> > package that just does it) and I am coming up empty handed. Any
>> experience
>> > or insights would be greatly appreciated.
>> >
>> > There is a package that does do exactly what I want, with the exception
>> > that
>> > it requires very specific data input, it is called :  mbmdr. My input
>> > consists of various clinical variables measured from patients  as well
>> as
>> > expression data from various genes. What I would like to do is identify
>> > significant genes while considering their interactions with the various
>> > clinical variables.
>> >
>> >
>> > Thank you,
>> >
>> > Ana
>> >
>> >       [[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.
>> >
>>
>>
>> -----
>> Frank Harrell
>> Department of Biostatistics, Vanderbilt University
>> --
>> View this message in context:
>> http://r.789695.n4.nabble.com/Covariable-Logistic-Regression-In-R-tp3533886p3534114.html
>> Sent from the R help mailing list archive at Nabble.com.
>>
>> ______________________________________________
>> 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.
>>
> 
> 
> 
> -- 
> Anamaria Crisan
> Medical Genomics Research Associate
> GenomeDx Biosciences Inc. | 201-1595 W. 3rd Ave, Vancouver, BC V6J 1J8
> Off: 604-569-0072 | Fax: 866-505-5161
> ana <http://goog_1098469627>@genomedx.com
> www.genomedx.com
> 
> 	[[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.
> 


-----
Frank Harrell
Department of Biostatistics, Vanderbilt University
--
View this message in context: http://r.789695.n4.nabble.com/Covariable-Logistic-Regression-In-R-tp3533886p3534679.html
Sent from the R help mailing list archive at Nabble.com.