Okay, thank you for your response! ... View more

Hi, two more questions: Does it matter that my intercept was not significant even though the effects of the primary predictor and a few other variables in the model were significant? Having a wide confidence interval for the primary predictor is not a good sign, right? eg. 3.8 (1.07-13.39)   Thank you! ... View more

Thank you for the prompt response! Yes, I meant testing for preliminary associations using chi-sq / t-tests/ Wilcoxon-rank sum/univariate logistic regression.   Your solution of using the R logistic PLS package is very helpful. I will try it out. Thank you very much! ... View more

I have a follow-up question to add to this thread. I have checked for associations between my outcome of interest with other variables in the data. Along with that I have also checked the associations between the primary predictor and other variables of interest. Once I gauged which variables I could use in the model, I used a stepwise method to add in variables and checked the model fit. However, my AIC does not seem to be affected no matter how many variables I add to the model. What I did see is that with the addition of some  variables, the primary predictor of interest seems to lose significance. I am not sure how to proceed and which model to choose as the final model. Any feedback will be appreciated! ... View more

Thank you! This is very helpful. ... View more

Hi Paige, Thanks for your response! Additionally, I am confused about how to keep adding variables in the model and deciding about confounders. Could you please shed some light on the approach to take for that as well? Much appreciate any response! ... View more