I have a data set that looks like this:
It's originally divided by strata, treatment vs. placebo, and how individuals perform across visits. Individuals do not change statuses or classifications at anytime. I am trying to compare the means for the treatment vs placebo group for the first strata, after the second visit. I've already create a table, that is filtered solely for the first strata and for observations after the second visit. I'm trying to figure out, given the structure of the data, if it would be better to do a proc anova or a paired t test. The paired t test seems appropriate for the task, but I don't know if it's appropriate for my data.
Thank you!
you could but repeated measures would be more thorough because you have two post-baseline values
edit: maybe this is helpful https://statistics.laerd.com/statistical-guides/repeated-measures-anova-statistical-guide.php
PROC GLM with the REPEATED statement, not PROC ANOVA
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ANOVA, or Analysis Of Variance, is used to compare the averages or means of two or more populations to better understand how they differ. Watch this tutorial for more.
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