Hi,
I have a dataset with outcome = heart rate, measured at baseline and time 1 and 2. Further, I have some potential confounders (age, sex, country).
I would like to test if there is a difference in heart rate from baseline to time 1 and 2.
Which analysis would be best (and simplest)? Perhaps a linear regression? Or a Linear mixed-effects model?
Thanks for your time,
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