I have a contingency table as follows:
Tumour Healthy Pos Neg Pos 4 0 Neg 2 3
I ran Fisher's exact test to get the odds ratio (using R) and I got:
Fisher's Exact Test for Count Data data: meld p-value = 0.1667 alternative hypothesis: true odds ratio is not equal to 1 95 percent confidence interval: 0.3779205 Inf sample estimates: odds ratio Inf
How shall I interpret the result? An infinite OR sounds already bad to me, but coupled with a non-significant p-value (inclusion of 1 in the CI), I'd say there is no difference between the classes. Am I right?