I am working with a binomial dependent variable (fail=1, not fail=0), and using ratios as independent variables to predict the outcome.
My dataset is n=34, so it isn't. I'm using R. When I use the binomial family with anything more than one predictor, I get a fail to converge warning and the output has humungous standard errors and coefficients, as well as z probabilities that are essentially 1.
When I compute the odds ratios, I literally get either 0 or 1. However, if I use Gaussian regression, the coefficients and p-values look, well, what I would hope to see and the odds ratios look believable.
My question is: can I actually use Gaussian in this case?