This is a simple question: I have done a small research study where I had a significant (Logistic regression) association with outcome by treatment group. When doing further analysis only one other variable was significant with outcome. Putting the second confounding explanatory variable into the model with the primary treatment variable, my OR actually increased. Usually it is reduced somewhat. Is this a common event? Have we potentially done something wrong with this rather simple model of two covariates? Thanks!