Logistic regression or something else?

#1
I have a dependent binary outcome and 6 independent variables. These are measured in the same group of people at two moments in time in a descriptive longitudinal study. I am assessing whether these independent variables increase the likelihood of achieving the binary outcome. I know that I could do a logistic regression analysis of the results gathered at either one of those moments in time but I was wondering if there was an analysis I could perform that would incorporate both measurements of the same participants at those two points in time.
 

obh

Active Member
#2
Hi D3,

Using any regression to choose the model is a bit problematic, as you have multiple comparisons.
has any of the IV values changed for a specific participant between the two moments in time?
 
#3
Hi obh,

Thank you for your reply. No, none of the independent values have changed, but their effect on the dependent variable may have changed if that makes sense! By running a regression model would it not allow me to determine the overall fit of the model and the relative contribution of each of the predictors to the total variance explained? Since I have two data points for each participant in a longitudinal study, I was hoping that each of these could work as their own control and make my results more accurate. I was thinking a mixed-effects model might work best, but I am open to suggestions.