On Sat, 7 Mar 2009, Juliet Hannah wrote:
Hi, This is not an R question, but I've seen opinions given on non R
topics, so I wanted
to give it a try. :)
How would one treat a variable that was measured once, but is known to
fluctuate a lot?
For example, I want to include a hormone in my regression as an
explanatory variable. However, this
hormone varies in its levels throughout a day. Nevertheless, its levels differ
substantially between individuals so that there is information there to use.
One simple thing to try would be to form categories, but I assume
there are better ways to handle this. Has anyone worked with such data, or could
anyone suggest some keywords that may be helpful in searching for this
Try:
correction for attenuation
measurement error models
errors-in-variables
Wayne Fuller
LA Stefanski and RJ Carroll
William Cochran
HTH,
Chuck
topic. Thanks
for your input.
Regards,
Juliet
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Charles C. Berry (858) 534-2098
Dept of Family/Preventive Medicine
E mailto:cbe...@tajo.ucsd.edu UC San Diego
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