Data from Fisher's paper: Confidence Limits for a Cross-Product Ratio.
> y
col1 col2
[1,] 10 3
[2,] 2 15
fisher.test(y)
Fisher's Exact Test for Count Data
data: y
p-value = 0.0005367
alternative hypothesis: true odds ratio is not equal to 1
95 percent confidence interval:
2.753438 300.682787
sample estimates:
odds ratio
21.30533
The crude odds ratio in Fisher's paper is 25 and the lower 95%CI is 2.750.
How come this is different here? Why is the estimate 21.30533 and how is the
confidence limits calculated (is there a reference for a statistical paper
other than that of Fisher)?
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