Binary predictors with very wide 95% CI in the Logistic Regression When I fit a binary predictor in the logistic regression model, I got a high odds ratio and a very wide 95% CI (e.g. OR=11, 95% CI [1.5-229.5]; p = 0.041). My binary predictor is smoking status and my outcome is having the disease or not.
The distribution is as follows: smoking+disease: n= 7; smoking+non-disease: n= 1; non-smoking+disease: n=7; non-smoking+non-disease: n = 11
I have never seen this wide 95% CI before and believe it is not correct. What should I do next to fix this issue?

Your sample size is very small, I would not be surprised to see such a wide CI. E.g. if you have 10x the size with the same proportions of smoking/disease and change your code accordingly, your ORs will be 11 (95%CI 5.32-22.76).  You should probably do some power calculations for your study to check if it is enough to make any conclusions.
