Hi, I've been feeling extremely stressed and sad while trying to find the best model for this. I've experimented with PROC MIXED, GLM, and GLIMMIX, but none of them provided the results I am looking for.
The outcome variable is continuous.
Maybe you need PROC GEE or PROC GENMOD??
Hi all, thank you so much for all your responses; they are truly helpful and make me think more deeply, being aware of all models.
My professor handed over the analysis conducted by the person prior and wants my result analysis to match with that person's.
I tried GEE, and the results became close to the person who conducted the analysis previously.
In the table, they asked me to fill out the fold change - 95%CI - P-value.
I have calculated the fold change( ratio= visit6/ baseline). I used the one-sample t-test where H0=1.
Based on the t-test, the results are close to hers, except for the p-value. Then, I used the log, and after that, I redid the t-test to only get the p-value where H0=0, and the result was too far from the person prior.
Now, I am thinking of using GEE with the link=log. From there, I use the p-value result, as the log gives us an idea of how the hypothesis is different from zero. When I did these two steps, first the t-test, then GEE, my results relatively match with that person.
Do you all think this is a valid method to use?
Thanks once again!
Registration is open! SAS is returning to Vegas for an AI and analytics experience like no other! Whether you're an executive, manager, end user or SAS partner, SAS Innovate is designed for everyone on your team. Register for just $495 by 12/31/2023.
If you are interested in speaking, there is still time to submit a session idea. More details are posted on the website.
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.
Find more tutorials on the SAS Users YouTube channel.