SAS Support Communities

ehdezsanabria · ‎05-17-2017

Hello again Sld, Thank you for your answer. I will continue reading, and I will ask questions once I finish understanding additional literature. I dislike wasting the time of others with nonsense questions. Best wishes, Emma

SteveDenham · ‎08-30-2016

Try the following: PROC GLIMMIX DATA=new method=laplace empirical; CLASS sample trt sym tpt; MODEL Akkermansia= trt|sym|tpt/ link=log dist=negbin ddfm=bw OFFSET=loglib ; random tpt/ subject=sample type=chol; LSMEANS trt*sym*tpt/diff ilink; NLOPTIONS maxiter=500 tech=nrridg; RUN; This fits a repeated measures design, where V1, V2 and V3 are repeated measures on the subject, which here is the sample. I think this more closely represents the data and the factors involved. This analysis points to a significant 3 way interaction, so you may want to slice your comparisons for each visit, to look at differences between treatments and whether these are mediated by symptom. Steve Denham

ehdezsanabria · ‎08-09-2016

Hello Steve, I am coming back to this answer because I still haven't got it right. I ran the model after doing the ln (x) transformation of the total number of counts (library). Now I understand what you meant with rescaling. I have realised that the values that I get are extremely small. My original data was given in percentages of the total number of counts. You suggested me to rescale it based on the units in which library size is expressed, but there are no units. It's just a number of counts. Is there any other way to express the means? Now that I see the results, the values are not representative any more (they are too small to be considered a percentage of the total). Again, thank you for your time! Emma

ehdezsanabria · ‎07-26-2016

Dear Rick, Thank you for your advice, I will definitely try EFFECTPLOT to generate a figure like the one you showed: Thank you for the kind suggestion! Emma

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