My exposure is a continuous variable that has been measured at 9 follow-up examinations in each participant.
My outcome is a also a continuous variable that has been measured only once: at the end of study.
I would like to test whether changes in my exposure over time is related to the outcome.
What are the available statistical tests to evaluate such relationship?
I have used mixed model previously to test the association between an exposure at time x and change in outcome over time. In this case, the outcome was measured multiple times over time while the exposure was measured only at the beginning of study. I wonder if mixed model would work for modeling the changes in exposure over time as well? or are there better statistical tests to answer my question?
Thank you
One way is to add a column/field for every followup period having the time from exposure. And
- calculate descriptive statistics
- calculate pair-wise associations
- conduct regressions for each of the "time from exposure" variables
- test for similar means (t-test) between these
- test for similar variances (Fisher's F test)
Dear Faye Anderson,
Thank you for your suggestions.
I am aware of the tests that you suggested, however, I was wondering if there are any specific statistical tests that would allow modeling the changes in exposure over time.
For example, I have used mixed model previously to test the association between an exposure at time x and change in outcome over time. In this case, the outcome was measured multiple times over time while the exposure was measured only at the beginning of study. I wonder if mixed model would work for modeling the changes in exposure over time as well?
Thank you
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