Hi sorry to ask this question here, but I have searched stack exchange, the documentation and also the code to find an answer to this question. But when I calculate the odds ratio myself (and using the fisher.test() I get the following estimate
> OR <- (270/288)/(281/301)
> OR
[1] 1.004226
However when I run this line of code I get the following:
> metabin(270,288,281,301,sm="OR")
OR 95%-CI z p-value
1.0676 [0.5527; 2.0621] 0.19 0.8456
Details:
- Inverse variance method
Can you explain the slight discrepancy in the point estimate of the odds ratio between my calculations and what the metabin function is providing?
Hi sorry to ask this question here, but I have searched stack exchange, the documentation and also the code to find an answer to this question. But when I calculate the odds ratio myself (and using the
fisher.test()
I get the following estimateHowever when I run this line of code I get the following:
Can you explain the slight discrepancy in the point estimate of the odds ratio between my calculations and what the metabin function is providing?
Thanks, Eric