[R] How to do adjust for sex, age, genotype for a data

[Frank E Harrell Jr]

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