Jim Kroger <[EMAIL PROTECTED]> wrote in message news:<[EMAIL PROTECTED]>...
> Hello, I'm trying to develop a way to determine the effect of
> different kinds of food and insulin on glucose (blood sugar)  for
> diatetics. Different foods elevate it to different degrees, and
> different kinds of insulin lower it to different degrees. What kind of
> analytic method would allow one to determine 1) what the effect of
> each kind of food or insulin alone is on blood glucose and 2) what the
> interaction is between two elements (for example, perhaps a gram of
> sugar has less effect when consumed with a gram or protein than when
> consumed alone)?

I'm no expert, but I hope to be playing around with co-correlation
later
this month. This technique (as far as my understanding of it goes) can
calculate the correlation between two variables, while removing
effects
due to mutual correlations between the two variables in question, and
other variables.

However, my experience of this technique is solely that it was
recommended
to me by a statistician, I had a look at a few pages, saw that it
seemed to be what I wanted, and then put it on my list of things to
do.

Co-correlation (from memory) is used when the total number of
variables
is small (should be ok in your course), and other techniques are used
when there are more variables.

Cheers,

Ross-c
.
.
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