I have made a logistic regression model that outputs probabilities over two different time periods(before and after) . I want to test if the difference between the probability of before and after is significant or not.
Which test is best to do so ? t-test? Proportion test? ANOVA? Wald?
My model has about 9 million observations , can i assume the variance of the times periods before and after are equal ?
Thanks , and comments/ suggestion are welcome :)