I've conducted a logistic regression in which a binary outcome was the dependent and some continuous factors were entered as independent variables.
First: Can this model determine that the independent factor will proceed the dependent factor or do we just have associations (since I conducted a case-control study by which I can't determine the causality)?
Second: if the odd ratio is 1.22 of the continuous variable (Biomarker) and the outcome is the binary outcome (vitamin deficiency or obese patient). How can I interpret this results?
Finally, when I entered other risk factors to the model do I interpret the result as dependent and independent risk factor?
Best Answer
If you have not taken other steps to ensure that the two factors don't occur in a fixed temporal order, than no, logistic regression will not ensure that that's true.
Your interpretation would be something along the lines of: "A one-unit increase in BIOMARKER increased the odds of vitamin deficiency by 1.22".
It's a little unclear what you're asking here. The estimates determined in any logistical regression model are conditional on any other variables you've included in the model.