I have estimated a binary logit and calculated the odds ratios and their LR confidence intervals as follows:
As you see some of these intervals are extremely wide. I guess it is due to insufficient variability in those variables (but I am not sure). How should I interpret these in a research paper? Should I just say (e.g. for C8) "c unit increase in x changes the odds of success by 1.9086 to 476.4251 times, with 95% confidence"? I am sure the reviewers will find this and point at it. What is your suggestion?
Best Answer
There is a very good paper on this at http://www.scielosp.org/pdf/rpsp/v2n4/v2n4a7.pdf
There are multiple reasons for this, including software failure. They test eight standard software tools and set in motion a configuration of data that should trigger software failure.
As to causes, they list
Rather than opine on possible causes and as you know your data set, I suggest reading the paper and taking a close look at your data. They run eight programs on the same data set and get eight very different answers for coefficients.