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[email protected] oldman@old.net is offline
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Default Need to fit a trendline to a Negative Exponential set of data

That exponent is one problem. I only have the time series that shows
the drug mix is working as depicted by the decline in Kappa Freelite
values. Is it possible to fit an equation to the data and thereby
determine the exponents. Its been over 20 years since I had to work
with this stuff. Until the wife got diagnosed I thought I was done
with this kind of stuff.

When she had other chemo rounds the curves looked like this data until
she would relapse. The reason why this data decays so slowly is that
the key drug is oral so the response is slower. As you can see from
the data this treatment plan is now really five weeks old and going.
When she had infusion chemo the decline in Kappa Freelite values would
occur over four or five day and she would be totally miserable for up
to three to four months.

Not sure if this helps you to help me.

thanks,
oldman


On Sat, 13 Jun 2009 16:01:33 -0700, Archimedes' Lever
wrote:

On Sat, 13 Jun 2009 14:27:13 -0700, wrote:

Hi thanks for the response. I will display what data I have which are
the first five points for the last five weeks of data since the chemo
protocol changed.

Week Kappa freelites
0 8.58
1 5.80
2 2.04
3 1.42
4 1.28
5 1.15
6 1.05
7 .99
8 .89
9 .81
10 .78


This should be enough of a start. The normal range if the disease is
under control is .33 to 1.94. These drugs are not a cure but only a
means to keep things under control. This is the sixth treatment plan
she has tried since being diagnosed almost five years ago.

Again we really appreciate the help.

oldman


Where are the negative exponents?