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.harr...@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@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@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@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. ______________________________________________ R-help@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.