On Fri, 17 Jul 2009, 1Rnwb wrote:
then what will be the other factors needed to be adjusted
It is NOT an exaggeration to say that hundreds of research
papers, dozens of books, and many dissertations have been written on how
to go about answering that question in one context or another.
Given the background you say you have, I doubt that any advice you will
get from this list will enable you to craft a good answer.
What you really need is collaboration with or mentoring from someone
who is expert in these matters and willing to dig into the particulars of
your research area.
and whether I
should adjust or use them as covariates.
Usually, these amount to the same thing.
Finally how these analysis will be
done in R
If you are doing this yourself you will probably need guidance from a well
crafted monograph. Quite a few are listed at
http://www.r-project.org/doc/bib/R-books.html
HTH,
Chuck
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
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Charles C. Berry (858) 534-2098
Dept of Family/Preventive Medicine
E mailto:cbe...@tajo.ucsd.edu UC San Diego
http://famprevmed.ucsd.edu/faculty/cberry/ La Jolla, San Diego 92093-0901
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