then what will be the other factors needed to be adjusted and whether I should adjust or use them as covariates. Finally how these analysis will be done in R
Harrell, Frank E wrote: > > 1Rnwb wrote: >> Hello R gurus, >> >> I am biologist doing biomarker research and I have a data set where I >> have 6 >> proteins and close to 3000 samples, i have to look for differences >> between >> disease(Y) and controls(N) along with genetic risk, genotypes, sex and >> other >> demographic info available. however i do not know any of the statistics >> to >> do the adjustment for sex, age, genotype, genetic risk. I have been >> reading >> in papers where the authors are talking about adjusting for age, sex, >> genotype, genetic risk. The CDC website suggests for adjusting the age >> using >> the weights, but I am not sure as this would apply to my data. one >> website >> says that if the distribution is not equal then one has to model sex, age >> and other demographic parameters as co-variates. I would appreciate if >> someone can help me to understand this more clearly and provide >> directions >> on modeling these to do my analysis. I am attaching a sample data file >> with >> this post. Thanks >> http://www.nabble.com/file/p24534963/Sample%2Bdata.csv Sample+data.csv > > If the only clinical variables you are adjusting for are age and sex > this analysis will be misleading at best. > > Frank > > -- > Frank E Harrell Jr Professor and Chair School of Medicine > Department of Biostatistics Vanderbilt University > > ______________________________________________ > 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. > > -- View this message in context: http://www.nabble.com/How-to-do-adjust-for-sex%2C-age%2C-genotype-for-a-data-tp24534963p24538093.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.
