I have some trouble getting a right confidence interval for my data.
I have a first binary variable : hypo2 and 2 others binary variables p10 and s10.
When I try this piece of code, I have a NA value for superior value of confidence interval.
glm_res2 <- glm(hypo2~p10+s10, data = dataN2, family = binomial) summary(glm_res2) confint(glm_res2)
Do you have some ideas to explain why it happens and what I can do to overpass this issue ?