Thank you Jill. Here is what I am trying to solve for : I have two groups with a metric that is measured across two time frames say T+2 and T0 , where T0 is the baseline. I need to compare the percentage change in the metric from T0 to T+2 across the two groups, with the baseline metric being one of the covariates. Additionally, I have been tasked to identify other covariates eg. Cov A Cov B and Cov C (mix of continuous and categorical) that are associated (have statistically significant relationship) with the change. I am aware and as Steve has rightly pointed out that we cannot regress percentage change or the difference T+2- T0 values. Hence, I tried to regress T+2 metric ~ T0baseline + group . Here is what I have put together : proc glm data=have; class group; model T+2_metric= group T0_metric covA cov B covC /solution; lsmeans group/pdiff=all ; run; I am struggling with how to arrive at the percentage change comparison from here. With the proc mixed code, Steve had provided I was able to get the % Change in Group A vs Group B. However, I would need to control for the baseline value as well. Please let me know if this makes sense or if I have been approaching the problem incorrectly. Thanks, Rhea
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