Thank you very much again. But in this case I get the coverage probability as
an average over all values for the odds ratio.
I need a coverage probability for every value for the odds ratio.
So the coverage probability for odds ratio = 1, than for odds ratio = 2 and
so on.
Sorry to bother you ag
Thank you very much. This was, was i needed. Unfortunately I have one futher
problem with this Code. I don't only need the coverage probability for one
but for a range of different odds ratios. (for example [1;30]). I tried it
with a loop but I get an error. I think again, that I'm almost there but
Hello.
I'm allready this far. I have a function which is calculating the lower (l)
and upper (u) limit for a confidence interval for the odds ratio.
For example for 5 simulated 2x2 tables the upper and lower limits are:
> u
[1] 2.496141 7.436524 8.209161 4.313587 3.318612
> l
[1] -0.9718608 1.1
Hello.
I'm looking for a method to simulate n different 2x2 tables having all the
same odds ratio.
For example.
I need
100 tables with odds ratio 1
100 tables with odds ratio 2
100 tables with odds ratio 3
and so on.
All tables should have the same marginal frequencies.
Thank you
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