I tried to post this a few times last week and it seems to have got stuck
somehow so I'm trying from a different email in the hope that works. If
somehow this has appeared on the list 20 tiems and I never saw any of them I
apologize ;-)
I'm basically an R-newbie. But I am VERY computer literate. But this has me
stumped...
All the examples for using the rmeta package to create a forest plot or
simillar seem to use the catheter data:
Name n.trt n.ctrl col.trt col.ctrl inf.trt inf.ctrl
1 Ciresi 124 127 15 21 13 14
2 George 44 35 10 25 1 3
3 Hannan 68 60 22 22 5 7
4 Heard 151 157 60 82 5 6
...
As I see it thats a summary of data from several published trials.
What I want to do is do a forrest (forest) plot for subgroups within my single
dataset as a test of heterogeniety. I have a dataset who received either full
dose(FD) or reduced dose(RD) treatment, and a number of characteristics about
those subjects: age, sex, renal function, weight, toxicity. And I have
survival data (censored). they are in standard columnar data.
Is there an *easy* way to transform them into something like this:
SubGroup n.FD n.RD surv.FD surv.RD
1 Age >65
2 Age <= 65
3 Male
...
9 Grade 0-2 Tox
10 Grade 3/4 Tox
Which rmeta will then let me use to create a forest plot from? This is a
reasonably standard approach in biomedical studies these days so it seems odd
that I can't find any "How-To" that tells me how to short cut it. Otherwise I
have to manually calculate each of the parameters :-( Which is a real pain as
we are awaiting more mature data which would need the same process re-run.
Thanks in advance
C
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